| data science fantasy football: Football Analytics with Python & R Eric A. Eager, Richard A. Erickson, 2023-08-15 Baseball is not the only sport to use moneyball. American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to: Apply basic statistical concepts to football datasets Describe football data with quantitative methods Create efficient workflows that offer reproducible results Use data science skills such as web scraping, manipulating data, and plotting data Implement statistical models for football data Link data summaries and model outputs to create reports or presentations using tools such as R Markdown and R Shiny And more |
| data science fantasy football: Football Analytics with Python & R Eric A. Eager, Richard A. Erickson, 2023-08-15 Baseball is not the only sport to use moneyball. American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data. Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to: Apply basic statistical concepts to football datasets Describe football data with quantitative methods Create efficient workflows that offer reproducible results Use data science skills such as web scraping, manipulating data, and plotting data Implement statistical models for football data Link data summaries and model outputs to create reports or presentations using tools such as R Markdown and R Shiny And more |
| data science fantasy football: Fantasy Football Guidebook Sam Hendricks, 2010-03-20 How to Play, Enjoy and Win your Fantasy Football League Every Year! A handy, concise and informative source book. Expertly organized and full of hard facts, helpful tips and valuable strategies. This guidebook is for the novice or the expert who wants to learn more about how to play and win fantasy football. It is your single source for every strategy, tip, rule or league variation available. It is the best book of its kind. Includes: - The history and administration of Fantasy Football - Types of leagues, scoring systems and drafts - How to rank players - Draft day tips, theories and advanced strategies - Roster Management skills (trades, add/drops, start/bench decisions) - Auction, Keeper and IDP leagues - Interview with Lenny Pappano (co-founder World Championship of Fantasy Football and draftsharks.com) - Psychology of Fantasy Football - Injuries - And much more! |
| data science fantasy football: Fantasy Football for Smart People Jonathan Bales, 2012-05-26 Fantasy Football for Smart People: How to Dominate Your Draft is an in-depth analysis of fantasy football draft strategy. The aim is to provide advanced material for experienced fantasy football owners and bottom line analysis for novices. The book is not a collection of player rankings or projections, but rather an assessment of various draft strategies and fantasy football tenants. It will provide a solid foundation from which you can improve as an owner to dominate your draft. |
| data science fantasy football: Test-Driven Development with Python Harry Percival, 2017-08-02 By taking you through the development of a real web application from beginning to end, the second edition of this hands-on guide demonstrates the practical advantages of test-driven development (TDD) with Python. You’ll learn how to write and run tests before building each part of your app, and then develop the minimum amount of code required to pass those tests. The result? Clean code that works. In the process, you’ll learn the basics of Django, Selenium, Git, jQuery, and Mock, along with current web development techniques. If you’re ready to take your Python skills to the next level, this book—updated for Python 3.6—clearly demonstrates how TDD encourages simple designs and inspires confidence. Dive into the TDD workflow, including the unit test/code cycle and refactoring Use unit tests for classes and functions, and functional tests for user interactions within the browser Learn when and how to use mock objects, and the pros and cons of isolated vs. integrated tests Test and automate your deployments with a staging server Apply tests to the third-party plugins you integrate into your site Run tests automatically by using a Continuous Integration environment Use TDD to build a REST API with a front-end Ajax interface |
| data science fantasy football: Sports Analytics and Data Science Thomas W. Miller, 2015-11-18 This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business. |
| data science fantasy football: Statistical Thinking in Sports Jim Albert, Ruud H. Koning, 2007-07-12 Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes |
| data science fantasy football: Optimal Sports Math, Statistics, and Fantasy Robert Kissell, James Poserina, 2017-04-06 Optimal Sports Math, Statistics, and Fantasy provides the sports community—students, professionals, and casual sports fans—with the essential mathematics and statistics required to objectively analyze sports teams, evaluate player performance, and predict game outcomes. These techniques can also be applied to fantasy sports competitions. Readers will learn how to: - Accurately rank sports teams - Compute winning probability - Calculate expected victory margin - Determine the set of factors that are most predictive of team and player performance Optimal Sports Math, Statistics, and Fantasy also illustrates modeling techniques that can be used to decode and demystify the mysterious computer ranking schemes that are often employed by post-season tournament selection committees in college and professional sports. These methods offer readers a verifiable and unbiased approach to evaluate and rank teams, and the proper statistical procedures to test and evaluate the accuracy of different models. Optimal Sports Math, Statistics, and Fantasy delivers a proven best-in-class quantitative modeling framework with numerous applications throughout the sports world. - Statistical approaches to predict winning team, probabilities, and victory margin - Procedures to evaluate the accuracy of different models - Detailed analysis of how mathematics and statistics are used in a variety of different sports - Advanced mathematical applications that can be applied to fantasy sports, player evaluation, salary negotiation, team selection, and Hall of Fame determination |
| data science fantasy football: Soccermatics David Sumpter, 2016-05-05 'Football looked at in a very different way' Pat Nevin, former Chelsea and Everton star and football media analyst Football – the most mathematical of sports. From shot statistics and league tables to the geometry of passing and managerial strategy, the modern game is filled with numbers, patterns and shapes. How do we make sense of them? The answer lies in the mathematical models applied in biology, physics and economics. Soccermatics brings football and mathematics together in a mind-bending synthesis, using numbers to help reveal the inner workings of the beautiful game. This new and expanded edition analyses the current big-name players and teams using mathematics, and meets the professionals working inside football who use numbers and statistics to boost performance. Welcome to the world of mathematical modelling, expressed brilliantly by David Sumpter through the prism of football. No matter who you follow – from your local non-league side to the big boys of the Premiership, La Liga, the Bundesliga, Serie A or the MLS – you'll be amazed at what mathematics has to teach us about the world's favourite sport. |
| data science fantasy football: Fantasy Football for Smart People Jonathan Bales, 2013-05-14 Fantasy Football for Smart People: What the Experts Don't Want You to Know contains solutions to 25 of fantasy football's most pressing questions. What's the best draft spot? Do running backs really break down after a lot of carries? How should you project rookies? What's the best waiver wire strategy? What the Experts Don't Want You to Know will answer these important questions-and give you a wealth of fantasy football knowledge along the way-to provide the edge you need to make the jump toward becoming an advanced fantasy football owner. |
| data science fantasy football: Fantasy Football for Smart People Jonathan Bales, 2016-08-16 The daily fantasy sports landscape is changing. Predicting player performance is only half the battle; in tournaments, top DFS players are exploiting weaknesses in public psychology to profit big. This requires a fundamental understanding of what drives public opinion-what motivates us to make decisions and where we go wrong-and the ability to accurately forecast how it all affects player ownership in DFS leagues. The Hidden Psychology of Winning DFS takes a two-pronged approach to turning you into a better daily fantasy football player. In the first section, you'll learn how various cognitive biases can shape your beliefs. Why do DFS players overvalue recent performance, overestimate their ability to make accurate predictions, and deal so poorly with risk and uncertainty? More important, how can you benefit from their mistakes? The second section takes a data-driven look at both daily fantasy football tournament ownership and value. Which metrics predict not only which players perform well, but which ones will be popular in tournaments? How much do the Vegas lines matter, when should you value recent production, and how can you find both undervalued and under-owned players at each position? You'll learn specific instructions on how to exploit inefficiencies in others' lineups to give you a leg up on the field. Using historical data to see what actually predicts daily fantasy football value and ownership, The Hidden Psychology of Winning DFS will equip you with the tools you need to leverage weaknesses in the way other players think and act into a major competitive advantage. |
| data science fantasy football: Football Hackers Christoph Biermann, 2019-05-30 Well written and thoughtful. Takes us on a tour of some of Europe's most innovative football thinkers - Financial Times The future of football is now. Football's data revolution has only just begun. The arrival of advanced metrics and detailed analysis is already reshaping the modern game. We can now fully assess player performance, analyse the role of luck and measure what really leads to victory. There is no turning back. Now the race is on between football's wealthiest clubs and a group of outsiders, nerds and rule-breakers, who are turning the game on its head with their staggering innovations. Winning is no longer just about what happens out on the pitch, it's now a battle taking place in boardrooms and on screens across international borders with the world's brightest minds driving for an edge over their fiercest rivals. Christoph Biermann has moved in the midst of these disruptive upheavals, talking to scientists, coaches, managers, scouts and psychologists in the world's major clubs, traveling across Europe and the US and revealing the hidden - and often jaw-dropping - truths behind the beautiful game. 'A book full of exciting ideas and inside views on modern football. The most exciting book in an exciting time for football.' Thomas Hitzlsperger |
| data science fantasy football: See the First Steps: Football Analytics Rodney Paul, 2020-08-15 See the First Steps: Football Analytics offers an introduction to the exciting world of charts and statistics surrounding the hot topic of analytics for the sport of football. Using NFL data from Pro Football Reference and Microsoft Excel Software, readers are introduced to a wide range of basic and advanced statistics, statistical concepts, and a variety of charts for data visualization.For teen readers, central concepts covered on the SAT, ACT, and in AP Statistics are noted in the book, along with hands-on experience computing measures of central tendency and dispersion, and plotting numerous charts illustrating league leaders, great individual performances, and relationships between NFL statistics from the 2019 season. For adults, the book provides a refresher on statistics in addition to building skills using charts in Excel. These proficiencies are great for analysis of the NFL and other sports and also provide valuable general abilities which are transferrable to work-related reports and presentations. See the First Steps: Football Analytics provides the means to share your love for the sport of football, while building valuable skills for young and old alike and offers the opportunity to work together as family and/or friends to enhance your love for the sport of football. The end goal is to provide a framework where you can do your own analytics of NFL players and teams to deepen your understanding and enjoyment of the game. |
| data science fantasy football: Analyzing Baseball Data with R Max Marchi, Jim Albert, 2016-04-05 With its flexible capabilities and open-source platform, R has become a major tool for analyzing detailed, high-quality baseball data. Analyzing Baseball Data with R provides an introduction to R for sabermetricians, baseball enthusiasts, and students interested in exploring the rich sources of baseball data. It equips readers with the necessary skills and software tools to perform all of the analysis steps, from gathering the datasets and entering them in a convenient format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the traditional graphics functions in the base package and introduce more sophisticated graphical displays available through the lattice and ggplot2 packages. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and fielding measures. Each chapter contains exercises that encourage readers to perform their own analyses using R. All of the datasets and R code used in the text are available online. This book helps readers answer questions about baseball teams, players, and strategy using large, publically available datasets. It offers detailed instructions on downloading the datasets and putting them into formats that simplify data exploration and analysis. Through the book’s various examples, readers will learn about modern sabermetrics and be able to conduct their own baseball analyses. |
| data science fantasy football: Scorecasting Tobias Moskowitz, L. Jon Wertheim, 2012-01-17 In Scorecasting, University of Chicago behavioral economist Tobias Moskowitz teams up with veteran Sports Illustrated writer L. Jon Wertheim to overturn some of the most cherished truisms of sports, and reveal the hidden forces that shape how basketball, baseball, football, and hockey games are played, won and lost. Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth about the universally accepted axiom that defense wins championships; the subtle biases that umpires exhibit in calling balls and strikes in key situations; the unintended consequences of referees' tendencies in every sport to swallow the whistle, and more. Among the insights that Scorecasting reveals: • Why Tiger Woods is prone to the same mistake in high-pressure putting situations that you and I are • Why professional teams routinely overvalue draft picks • The myth of momentum or the hot hand in sports, and why so many fans, coaches, and broadcasters fervently subscribe to it • Why NFL coaches rarely go for a first down on fourth-down situations--even when their reluctance to do so reduces their chances of winning. In an engaging narrative that takes us from the putting greens of Augusta to the grid iron of a small parochial high school in Arkansas, Scorecasting will forever change how you view the game, whatever your favorite sport might be. |
| data science fantasy football: Numbersense: How to Use Big Data to Your Advantage Kaiser Fung, 2013-07-12 How to make simple sense of complex statistics--from the author of Numbers Rule Your World We live in a world of Big Data--and it's getting bigger every day. Virtually every choice we make hinges on how someone generates data . . . and how someone else interprets it--whether we realize it or not. Where do you send your child for the best education? Big Data. Which airline should you choose to ensure a timely arrival? Big Data. Who will you vote for in the next election? Big Data. The problem is, the more data we have, the more difficult it is to interpret it. From world leaders to average citizens, everyone is prone to making critical decisions based on poor data interpretations. In Numbersense, expert statistician Kaiser Fung explains when you should accept the conclusions of the Big Data experts--and when you should say, Wait . . . what? He delves deeply into a wide range of topics, offering the answers to important questions, such as: How does the college ranking system really work? Can an obesity measure solve America's biggest healthcare crisis? Should you trust current unemployment data issued by the government? How do you improve your fantasy sports team? Should you worry about businesses that track your data? Don't take for granted statements made in the media, by our leaders, or even by your best friend. We're on information overload today, and there's a lot of bad information out there. Numbersense gives you the insight into how Big Data interpretation works--and how it too often doesn't work. You won't come away with the skills of a professional statistician. But you will have a keen understanding of the data traps even the best statisticians can fall into, and you'll trust the mental alarm that goes off in your head when something just doesn't seem to add up. Praise for Numbersense Numbersense correctly puts the emphasis not on the size of big data, but on the analysis of it. Lots of fun stories, plenty of lessons learned—in short, a great way to acquire your own sense of numbers! Thomas H. Davenport, coauthor of Competing on Analytics and President’s Distinguished Professor of IT and Management, Babson College Kaiser’s accessible business book will blow your mind like no other. You’ll be smarter, and you won’t even realize it. Buy. It. Now. Avinash Kaushik, Digital Marketing Evangelist, Google, and author, Web Analytics 2.0 Each story in Numbersense goes deep into what you have to think about before you trust the numbers. Kaiser Fung ably demonstrates that it takes skill and resourcefulness to make the numbers confess their meaning. John Sall, Executive Vice President, SAS Institute Kaiser Fung breaks the bad news—a ton more data is no panacea—but then has got your back, revealing the pitfalls of analysis with stimulating stories from the front lines of business, politics, health care, government, and education. The remedy isn’t an advanced degree, nor is it common sense. You need Numbersense. Eric Siegel, founder, Predictive Analytics World, and author, Predictive Analytics I laughed my way through this superb-useful-fun book and learned and relearned a lot. Highly recommended! Tom Peters, author of In Search of Excellence |
| data science fantasy football: Fantasy Football Mastery 2024 , 2024-07-30 Fantasy Football Mastery 2024 explores innovative strategies, advanced data analysis, and the integration of cutting-edge technologies to empower young adults to dominate their fantasy football leagues. Imagine a fantasy football world where traditional strategies no longer cut it, where data analysis and technology reign supreme in the quest for league domination.Fantasy Football Mastery 2024 : Unlock Advanced Strategies and Cutting-Edge Tech to Dominate Your Leaguedelves deep into the realms of advanced data analytics and market dynamics, offering a fresh perspective that goes beyond conventional fantasy football wisdom. Get ready to explore chapters on harnessing data analysis, exploiting player trends, utilizing cutting-edge technology, and incorporating AI for a competitive edge in your fantasy football league.Join us on a journey towards fantasy football mastery, where traditional boundaries are pushed aside, and a new era of strategic gameplay awaits. What are the objectives of Fantasy Football Mastery 2024: Unlock Advanced Strategies and Cutting-Edge Tech to Dominate Your League? Provide readers with cutting-edge strategies and technological tools to excel in fantasy football leagues. Introduce readers to the integration of technologies like AI and predictive algorithms to optimize fantasy football performance. Equip readers with the skills to interpret player trends, exploit market dynamics, and use data analysis for strategic team management. What will you learn from this book? After reading Fantasy Football Mastery 2024, you will gain knowledge of advanced tactics for player selection, strategies for market exploitation, and how to use technology to gain a competitive edge in fantasy football leagues. Additionally, you will learn how to incorporate data analysis, artificial intelligence, and technological tools to improve your decision-making process in fantasy football and enhance your league performance. |
| data science fantasy football: The Data Science Design Manual Steven S. Skiena, 2017-07-01 This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com) |
| data science fantasy football: Fantasy League Mike Lupica, 2015-07-14 From the #1 New York Times bestselling author of HEAT, TRAVEL TEAM and MILLION-DOLLAR THROW comes a story of every football kid’s dream come true. 12-year-old Charlie is a fantasy football guru. He may be just a bench warmer for his school's football team, but when it comes to knowing and loving the game, he's first-string. He even becomes a celebrity when his podcast gets noticed by a sports radio host, who plays Charlie's fantasy picks for all of Los Angeles to hear. Soon Charlie befriends the elderly owner of the L.A. Bulldogs -- a fictional NFL team -- and convinces him to take a chance on an aging quarterback. After that, watch out . . . it's press conferences and national fame as Charlie becomes a media curiosity and source of conflict for the Bulldogs general manager, whose job Charlie seems to have taken. It's all a bit much for a kid just trying to stay on top of his grades and maintain his friendship with his verbal sparring partner, Anna. Like the best Disney film in book form, like Moneyball for kids, Fantasy League is every football kid's dream scenario. “Lupica is the greatest sports writer for middle school readers.” –VOYA |
| data science fantasy football: Sports Data Mining Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen, 2010-09-10 Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis. |
| data science fantasy football: Python and R for the Modern Data Scientist Rick J. Scavetta, Boyan Angelov, 2021-06-22 Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Rick Scavetta and Boyan Angelov explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a case study that demonstrates ways to use these languages together |
| data science fantasy football: Storytelling with Data Cole Nussbaumer Knaflic, 2015-10-09 Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it! |
| data science fantasy football: The Numbers Game Chris Anderson, David Sally, 2013-07-30 Moneyball meets Freakonomics in this myth-busting guide to understanding—and winning—the most popular sport on the planet. Innovation is coming to soccer, and at the center of it all are the numbers—a way of thinking about the game that ignores the obvious in favor of how things actually are. In The Numbers Game, Chris Anderson, a former professional goalkeeper turned soccer statistics guru, teams up with behavioral analyst David Sally to uncover the numbers that really matter when it comes to predicting a winner. Investigating basic but profound questions—How valuable are corners? Which goal matters most? Is possession really nine-tenths of the law? How should a player’s value be judged?—they deliver an incisive, revolutionary new way of watching and understanding soccer. |
| data science fantasy football: Feed M. T. Anderson, 2010-05-11 Identity crises, consumerism, and star-crossed teenage love in a futuristic society where people connect to the Internet via feeds implanted in their brains. Winner of the LA Times Book Prize. For Titus and his friends, it started out like any ordinary trip to the moon - a chance to party during spring break and play around with some stupid low-grav at the Ricochet Lounge. But that was before the crazy hacker caused all their feeds to malfunction, sending them to the hospital to lie around with nothing inside their heads for days. And it was before Titus met Violet, a beautiful, brainy teenage girl who knows something about what it’s like to live without the feed-and about resisting its omnipresent ability to categorize human thoughts and desires. Following in the footsteps of George Orwell, Anthony Burgess, and Kurt Vonnegut, Jr., M. T. Anderson has created a brave new world - and a hilarious new lingo - sure to appeal to anyone who appreciates smart satire, futuristic fiction laced with humor, or any story featuring skin lesions as a fashion statement. |
| data science fantasy football: Applied Data Science Douglas G. Woolford, Donna Kotsopoulos, Boba Samuels, 2023-05-09 The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation. |
| data science fantasy football: Automated Data Collection with R Simon Munzert, Christian Rubba, Peter Meißner, Dominic Nyhuis, 2015-01-20 A hands on guide to web scraping and text mining for both beginners and experienced users of R Introduces fundamental concepts of the main architecture of the web and databases and covers HTTP, HTML, XML, JSON, SQL. Provides basic techniques to query web documents and data sets (XPath and regular expressions). An extensive set of exercises are presented to guide the reader through each technique. Explores both supervised and unsupervised techniques as well as advanced techniques such as data scraping and text management. Case studies are featured throughout along with examples for each technique presented. R code and solutions to exercises featured in the book are provided on a supporting website. |
| data science fantasy football: Footballistics James Coventry, 2018-07-01 How the Data Analytics Revolution is Uncovering Footy's Hidden Truths 'Footballistics is more than just good writing. The nature of football continually changes, which means its analysis must also keep pace. This book is for students, thinkers, and theorists of the game.' Ted Hopkins – Carlton premiership player, author, and co-founder of Champion Data. Australian Rules football has been described as the most data-rich sport on Earth. Every time and everywhere an AFL side takes to the field, it is shadowed by an army of statisticians and number crunchers. The information they gather has become the sport's new language and currency. ABC journalist James Coventry, author of the acclaimed Time and Space, has joined forces with a group of razor-sharp analysts to decipher the data, and to use it to question some of football's long-held truisms. Do umpires really favour the home side? Has goal kicking accuracy deteriorated? Is Geelong the true master of the draft? Are blonds unfairly favoured in Brownlow medal voting? And are Victorians the most passionate fans? Through a blend of entertaining storytelling and expert analysis, this book will answer more questions about footy than you ever thought to ask. Praise for Time and Space: 'Brilliant, masterful' – The Guardian 'Arguably one of the most important books yet written on Australian Rules football.' – Inside History 'Should find its way into the hands of every coach.' – AFL Record |
| data science fantasy football: The Football Code James Tippett, 2017-09-06 The Football Code outlines an innovative, ground-breaking philosophy that will change the way you watch the beautiful game. In a sport which is so largely dictated by randomness, how can we accurately assess the performance of teams, players and managers? How can we tell who is good and who is simply lucky? The Football Code teaches how a more scientific approach can eradicate the damaging effects of chance, leaving a clearer image of what is actually happening on the field of play. Only then can managers sign better players. Only then can pundits offer better judgements. Only then can fans compile better fantasy football teams. This book addresses the intrinsic errors and inefficiencies which plague the sport, whilst at the same time revealing the top secret methods that professional gambling syndicates use to predict future outcomes. Above all, it discloses the top secret, data-driven system that one football mastermind has used to make millions in the betting markets, and that has allowed the Championship team he owns to punch spectacularly above its financial weight. Football has finally found it's answer to baseball's 'Moneyball'. Any fan who doesn't read this book will be left behind. - William Lund. Unveils a revolutionary approach to the transfer market. Truly exceptional. - FootballNow. A masterclass. The sport of football will never be the same again - Levi Janssen. |
| data science fantasy football: Qualitative Data Analysis Ian Dey, 2003-09-02 Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience. |
| data science fantasy football: Mechanistic Data Science for STEM Education and Applications Wing Kam Liu, Zhengtao Gan, Mark Fleming, 2022-01-01 This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems. Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers. |
| data science fantasy football: You Negotiate Like a Girl Amy Trask, Michael Freeman, 2016-09-15 The Princess of Darkness. Former NFL team executive Amy Trask has held many titles during her career &– including chief executive, analyst, and author &– but this nickname is what she is first and foremost known by to Raiders fans. Trask joined the Raiders as an intern during law school after the team moved from Oakland to Los Angeles &– the position the result of a cold call she made to the team. From there, she worked her way up through the ranks of the organization, to the post she would eventually hold as chief executive. Along the way, Trask worked extremely closely with the late Al Davis, a man who treated her and others on his team without regard to gender, race, and age. Trask may have been the highest-ranking female executive in the NFL during her tenure with the Raiders, but in You Negotiate Like a Girl: Reflections on a Career in the National Football League, she shares how she found success by operating without regard to gender. Replete with insider tales about being part of the Raiders' front office, behind the closed doors of NFL owners meetings, and Davis himself, Trask's book is a must-read not only for football fans, but anyone who wants to succeed in business. |
| data science fantasy football: League of Denial Mark Fainaru-Wada, Steve Fainaru, 2014-08-26 NEW YORK TIMES BESTSELLER • The story of how the NFL, over a period of nearly two decades, denied and sought to cover up mounting evidence of the connection between football and brain damage “League of Denial may turn out to be the most influential sports-related book of our time.”—The Boston Globe “Professional football players do not sustain frequent repetitive blows to the brain on a regular basis.” So concluded the National Football League in a December 2005 scientific paper on concussions in America’s most popular sport. That judgment, implausible even to a casual fan, also contradicted the opinion of a growing cadre of neuroscientists who worked in vain to convince the NFL that it was facing a deadly new scourge: a chronic brain disease that was driving an alarming number of players—including some of the all-time greats—to madness. In League of Denial, award-winning ESPN investigative reporters Mark Fainaru-Wada and Steve Fainaru tell the story of a public health crisis that emerged from the playing fields of our twenty-first-century pastime. Everyone knows that football is violent and dangerous. But what the players who built the NFL into a $10 billion industry didn’t know—and what the league sought to shield from them—is that no amount of padding could protect the human brain from the force generated by modern football, that the very essence of the game could be exposing these players to brain damage. In a fast-paced narrative that moves between the NFL trenches, America’s research labs, and the boardrooms where the NFL went to war against science, League of Denial examines how the league used its power and resources to attack independent scientists and elevate its own flawed research—a campaign with echoes of Big Tobacco’s fight to deny the connection between smoking and lung cancer. It chronicles the tragic fates of players like Hall of Fame Pittsburgh Steelers center Mike Webster, who was so disturbed at the time of his death he fantasized about shooting NFL executives, and former San Diego Chargers great Junior Seau, whose diseased brain became the target of an unseemly scientific battle between researchers and the NFL. Based on exclusive interviews, previously undisclosed documents, and private emails, this is the story of what the NFL knew and when it knew it—questions at the heart of a crisis that threatens football, from the highest levels all the way down to Pop Warner. |
| data science fantasy football: FPL Obsessed Matt K Whelan, 2021-05-24 Do you want to beat your mini-league rivals? Are you pushing for your best rank yet? Have you forgotten how to enjoy playing Fantasy Premier League? If so, this book is for you. #1 Amazon Best Seller (English Football Association & Fantasy Sports categories) Fantasy Premier League has over 8 million players worldwide and the number is growing each year. With practically endless combinations of players for your squad, the decisions you make each week will determine your success globally and in your mini-leagues. This book will show you everything you should be doing before the season begins, how to set up your squad to make the best possible start and all the tips and tricks to make sure your season stays on the right track. It explores the different playing styles of FPL managers and the psychology behind decision-making processes, including common traps to avoid. With an emphasis on enjoying the game, this book helps managers regulate negative emotions and make clear, logical decisions even when things are not going to plan. Matt Whelan is an FPL veteran, having played the game for nearly two decades. Over the course of his 17 years playing the game, he has uncovered the tactics and habits which transcend multiple playing styles and has discovered that self-discipline and patience are crucial to a good finish. Brilliant book! As an FPL manager myself, this book really resonates. I enjoyed how Matt takes us through his years as a FPL manager. His anecdotes are funny and relatable and I feel like I have known him better after reading the book... - KT, Creator of FF Titan - Fantasy Football Scout International Wow, I honestly couldn't put this book down! It is a breath of fresh air... - Dan, Co-creator of The FPL Way |
| data science fantasy football: Analyzing Baseball Data with R, Second Edition Max Marchi, Jim Albert, Benjamin S. Baumer, 2018-11-19 Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R. |
| data science fantasy football: Text Analytics with Python Dipanjan Sarkar, 2016-11-30 Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data |
| data science fantasy football: Designing Gamified Systems Sari Gilbert, 2015-08-11 Designing Gamified Systems is a fundamental guide for building essential skills in game and interaction design to revitalize and reimagine real world systems – from cities and corporations to schools and the military. Author Sari Gilbert develops a set of core principles and tools for using game thinking and interactive design to build motivation, explain hard concepts, broaden audiences, deepen commitments and enhance human relationships. Designing Gamified Systems includes: Topics such as gamified system design, behavioral psychology, marketing, business strategy, learning theory and instructional design Interviews with leaders and practitioners in this emerging field who explain how the job of the game designer is being redefined Exercises designed to both encourage big-picture thinking about gamified systems and help you experience and understand the challenges and nuances involved in designing them A companion website (www.gamifiedsystems.com) with additional materials to supplement learning and practice |
| data science fantasy football: The Science of Success: What Researchers Know that You Should Know Paula J. Caproni, 2016-12-08 Short description. |
| data science fantasy football: Data Smart John W. Foreman, 2013-10-31 Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the data scientist, toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know. |
| data science fantasy football: Lone Stars Mike Lupica, 2017-09-12 An uplifting story about role models, football, and tackling fear set in the heart of Friday Night Lights country—from the bestselling author of Heat, Travel Team, and Fantasy League. Clay is a quarterback's dream. When he zips across the field, arms outstretched, waiting for the ball to sail into his hands, there's no denying him the catch. Like most Texans, Clay is never more at home than when playing football. And his coach, a former star player for the Dallas Cowboys, is just like a second father. But as the football season kicks off, Clay begins to notice some odd behavior from his coach--lapses in his memory and strange mood swings. The conclusion is painful, but obvious: Coach Cooper is showing side effects of the many concussions he sustained during his playing days. As Clay's season wears on, it becomes clear that the real victory will be to help his coach walk onto that famous star logo in the middle of Cowboys Field one last time--during a Thanksgiving day ceremony honoring him and his former Super Bowl-winning teammates. In Lone Stars, #1 New York Times bestseller Mike Lupica demonstrates once again that there is no children's sports novelist today who can match his ability to weave a story of vivid sports action and heartfelt emotion. A touching story that proves life is bigger than a game. Praise for Lone Stars Lupica has crafted another fine sports story for the middle school reader.—VOYA Young readers, no matter their level of interest in the game, will be drawn in by this touching, timely story.—Booklist There is plenty of great football action to keep the sports enthusiasts engaged, and the information about concussive injury is easily understood and applied. This is an entertaining read that also imparts an important message.—School Library Connection |
| data science fantasy football: The Ten Equations That Rule the World David Sumpter, 2021-08-24 Is there a secret formula for getting rich? For going viral? For deciding how long to stick with your current job, Netflix series, or even relationship? This book is all about the equations that make our world go round. Ten of them, in fact. They are integral to everything from investment banking to betting companies and social media giants. And they can help you to increase your chance of success, guard against financial loss, live more healthfully, and see through scaremongering. They are known by only the privileged few - until now. With wit and clarity, mathematician David Sumpter shows that it isn't the technical details that make these formulas so successful. It is the way they allow mathematicians to view problems from a different angle - a way of seeing the world that anyone can learn. Empowering and illuminating, The Ten Equations shows how math really can change your life. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
