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| data science stock images: The Data Science Handbook Field Cady, 2024-10-31 Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, and programming paradigms). A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of theory. A solid conceptual foundation is required for fitting the right model to a business problem, understanding a tool’s limitations, and reasoning about discoveries. Data science is a quickly evolving field, and this 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. Much of data science has become a skillset that anybody can have, making this book not only for aspiring data scientists, but also for professionals in other fields who want to use analytics as a force multiplier in their organization. |
| data science stock images: R for Data Science Hadley Wickham, Garrett Grolemund, 2016-12-12 Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true signals in your dataset Communicate—learn R Markdown for integrating prose, code, and results |
| data science stock images: Machine Learning for Big Data Analysis Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De, 2018-12-17 This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research. |
| data science stock images: Stock price analysis through Statistical and Data Science tools: An Overview Vinaitheerthan Renganathan, 2021-04-30 Stock price analysis involves different methods such as fundamental analysis and technical analysis which is based on data related to price movement of the stock in the past. Price of the stock is affected by various factors such as company’s performance, current status of economy and political factor. These factors play an important role in supply and demand of the stock which makes the price to be volatile in the short term. Investors and stock traders aim to book profit through buying and selling the stocks. There are different statistical and data science tools are being used to predict the stock price. Data Science and Statistical tools assume only the stock price’s historical data in predicting the future stock price. Statistical tools include measures such as Graph and Charts which depicts the general trend and time series tools such as Auto Regressive Integrated Moving Averages (ARIMA) and regression analysis. Data Science tools include models like Decision Tree, Support Vector Machine (SVM), Artificial Neural Network (ANN) and Long Term and Short Term Memory (LSTM) Models. Current methods include carrying out sentiment analysis of tweets, comments and other social media discussion to extract the hidden sentiment expressed by the users which indicate the positive or negative sentiment towards the stock price and the company. The book provides an overview of the analyzing and predicting stock price movements using statistical and data science tools using R open source software with hypothetical stock data sets. It provides a short introduction to R software to enable the user to understand analysis part in the later part. The book will not go into details of suggesting when to purchase a stock or what at price. The tools presented in the book can be used as a guiding tool in decision making while buying or selling the stock. Vinaitheerthan Renganathan www.vinaitheerthan.com/book.php |
| data science stock images: 30-Second Data Science Liberty Vittert, 2020-09-29 30-Second Data Science covers 50 key elements in the field of data-gathering from basic to ethics, explained clearly and concisely. |
| data science stock images: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data. |
| data science stock images: Data Science and Emerging Technologies Yap Bee Wah, |
| data science stock images: 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 stock images: Data Science for Suicide Bombings Sana Rasheed, 2016-12-15 Suicide bombing has become one of the most lethal and favorite modus operandi of terrorist organizations worldwide. Information technology and artificial intelligence have seen some tremendous advancement in recent years, and this study is set to use the power of data sciences and predictive analytics for counterterrorism and suicide bombings. This multidisciplinary research work outlines a theoretical framework for personal traumatization and also discusses the methods and ways to analyze the data to uncover trends and patterns. It has also examined the use of statistical models that could help in forecasting suicide bombings. |
| data science stock images: Super Earth Encyclopedia DK, 2017-07-04 This visual encyclopedia is the ultimate page-turner, bringing our planet's most diverse and dramatic features together in spectacular style. Go on a breathtaking journey around the world. Scale the highest mountains, explore incredible weather patterns, and come face-to-face with the deadly forces of nature. Kids can explore the incredible, ever-changing features of Earth through mind-blowing photography, brand-new CGI artwork, fun facts, and stats. This fascinating reference ebook is sure to inspire the ecologists and scientists of tomorrow. Curious kids want to know everything about their planet. How do tornadoes form? What does the center of a volcanic eruption look like? Where is the hottest inhabited place on Earth? Investigate our world from its core to its cosmic connections when you journey through the spectacular imagery of colorful coral reefs, castle-like ice caves, and violent microbursts. This lively encyclopedia engages young readers with riveting information and eye-catching photography. Super Earth Encyclopedia will take your child on a jaw-dropping journey of discovering the most fascinating features of our planet. The Biggest, Highest, Most Extraordinary Features on Our Planet Feel the mighty power of the highest waterfall and discover superheated water from a giant geyser. This educational ebook for children will ensure that you never look at the world, or its wonders, in the same way again. Inside the pages of this stunning ebook about Earth, you'll find: - Beautiful photography and CGI artworks of Earth's most dramatic features. - Dashboard-style fact files that provide information at a glance. - Informative, fun-to-read text that is based on the latest discoveries and scientific research. More from DK Books: There are more Super Encyclopedias to explore! Super Bug Encyclopedia gives you an unprecedented insight into the complex life of creepy crawlies, and Super Human Encyclopedia showcases from head to toe how extraordinary the human body is. |
| data science stock images: The Story of Life in 10 1/2 Species Marianne Taylor, 2020-10-20 Souvenirs of the planet: Ten (and a half) life forms, each of which explains a key aspect of life on Earth. If an alien visitor were to collect ten souvenir life forms to represent life on earth, which would they be? This is the thought-provoking premise of Marianne Taylor's The Story of Life in 10 and a Half Species. Each life forms explains a key aspect about life on Earth. From the sponge that seems to be a plant but is really an animal to the almost extinct soft-shelled turtle deemed extremely unique and therefore extremely precious, these examples reveal how life itself is arranged across time and space, and how humanity increasingly dominates that vision. Taylor, a prolific science writer, considers the chemistry of a green plant and ponders the possibility of life beyond our world; investigates the virus in an attempt to determine what a life form is; and wonders if the human—“a distinct and very dominant species with an inevitably biased view of life”— could evolve in a new direction. She tells us that the giraffe was one species, but is now four; that the dusky seaside sparrow may be revived through “re-evolution,” or cloning; explains the significance of Darwin's finch to evolution; and much more. The “half” species is artificial intelligence. Itself an experiment to understand and model life, AI is central to our future—although from the alien visitor's standpoint, unlikely to inherit the earth in the long run. |
| data science stock images: AQA A-level Geography Fifth Edition Ian Whittaker, Helen Fyfe, Malcolm Skinner, Paul Abbiss, Philip Banks, 2021-05-28 Cramming all new-case studies and 100s of new questions into one book, this new edition of our AQA A-level Geography student book will capture imaginations as it travels around the globe. This book has been written by our expert author team and structured to provide support for learners of all abilities. The book includes: · Activities and regular review questions to reinforce geographical knowledge and build up core geographical skills · Clear explanations to help students to grapple with tricky geographical concepts and grasp links between topics · Case studies from around the world to vividly demonstrate geographical theory in action · Exciting fieldwork projects that meet the fieldwork and investigation requirements · The most up-to-date theory of plate tectonics This student book is supported by digital resources on our new digital platform Boost, providing a seamless online and offline teaching experience. |
| data science stock images: CCEA GCSE Geography Third Edition Petula Henderson, Stephen Roulston, 2017-07-31 This title has been endorsed for use with the CCEA GCSE Geography specification Confidently navigate the new content and assessment requirements with a fully updated edition of the longest-standing Student Book for CCEA GCSE Geography, trusted for over a decade to help thousands of students succeed. - Provides complete coverage of the specification with clear, detailed explanations of each unit and theme, plus a dedicated chapter on fieldwork - Develops students' knowledge and skills through activities that involve interpreting, analysing and evaluating geographical information and activities that focus on practising key skills - Brings concepts to life through diagrams, maps, photographs and a rich bank of up-to-date case study material - Enables high achievers to extend their knowledge and fulfil their potential by including research activities that go beyond the core content - Prepares students for the non-tiered examinations with exam-style questions for each theme, tips and guidance from experienced examiners, plus answers and mark schemes available online in the free Teaching & Learning Resources |
| data science stock images: Where on Earth? Atlas DK, 2017-03-28 A vivid showcase of the most fascinating places on the planet through a collection of more than 75 3D maps that show not only where everything is, but also why it is there. Marvel at the world's tallest buildings, find out where earthquakes are most likely to occur, and where you can find super cool, luminescent critters! This kid's atlas is divided into six chapters you can't help but get lost in. Where on Earth? is an educational ebook for kids that brings instant understanding to a plethora of fascinating subjects, stimulating interest in the world around us and drawing young readers into its pages and the topics they cover. Take a tour of planet Earth learning about what's where in the worlds of engineering and technology, art and culture, history, nature, Earth science, and human populations. Find out where the world's the most incredible dive spots are situated, exploring the wreckages of history's long-lost sunken ships, and where to go if you want to scratch a whale's tongue! Discover Olympic cities, the Seven Wonders of the World, impressive physical geography, and the habitats of Earth's big cats. Every map contains fact panels that provide additional information and useful statistics, while focus features pull out and explain the most interesting facets for an even richer experience. Explore The World - Learn In Spectacular Detail! A fantastically fresh way of presenting geographical knowledge. The graphics are incredibly rich and detailed, and including fun facts about the world. It is easy to spend hours getting lost in these pages. This fascinating fact ebook engages wide range of subjects including: - Geography - Nature - People - History - Arts - Entertainment - Science - Technology It is the perfect kid's educational ebook for school projects or simply for satisfying curiosity about the big beautiful world around us. |
| data science stock images: Multidisciplinary Research in Arts, Science & Commerce (Volume-2) Chief Editor- Biplab Auddya, Editor- Dr. T. Prabakaran, Dr. Bandi Kalyani, Dr. Nisha, Prof Dr M Devendra, Dr. Anita Konwar, V.Geetha, 2024-08-07 |
| data science stock images: I Can't Believe it! 2 DK, 2018-06-05 Boggle your mind with the weird and wonderful facts, photos, and illustrations packed into the pages of this awesome almanac. I Can't Believe It! 2 brings together some of the most fascinating information and myth-busting true-or-false questions from four of DK's bestselling titles: It Can't Be True! (astonishing visual comparisons that explain extraordinary facts about the world around us); True or False? (unbelievable but true answers to big questions); Strange but True! (bizarre beasts, incredible places, and peculiar phenomena that are really real); and It Can't Be True! 2 (a compendium of hundreds more visual comparisons). Covering a huge range of subjects from outer space to dinos, head lice to hamburgers, and snowflakes to fearsome flowers, this is truly a book with the Wow! factor that tells you things about our crazy universe you will hardly believe. I Can't Believe It! 2 has something to astound everyone, over and over again. Parents will want to steal this book from their kids. |
| data science stock images: Jacaranda Key Concepts in VCE Health and Human Development Units 1 and 2 8e, LearnON and Print Andrew Beaumont, Kim Weston, Fiona Alderson, Lisa O'Halloran, 2024-10-11 |
| data science stock images: Birth of the Dinosaurs Michael Bright, 2017-07-15 Long before humans even walked the earth, dinosaurs ruled its lands, seas, and skies. This information-rich book takes readers millions of years into Earth�s past to witness the birth, reign, and mass extinction of these incredible creatures. Intricately detailed 3-D images and illustrations of prehistoric species immerse readers in a time before humanity. As they explore the Mesozoic era, readers will learn about geological time, evolution, animal classification, and other essential science curriculum topics. Readers will pour over fascinating fact boxes to satiate their curiosity on this high-interest subject. With crucial science material and engaging subject matter even reluctant readers will absorb, this intriguing book will be a popular addition to any library. |
| data science stock images: Genetic Ancestry Testing Kristi Lew, 2018-07-15 Popular television shows, such as Finding Your Roots and Who Do You Think You Are?, have ignited a renewed passion for traditional genealogical research and thrown genetic ancestry testing into the spotlight. Once a tool only for historians and forensic scientists, DNA testing is now available directly to the consumer. Supporting the Next Generation Science Standards on heredity and inheritance of traits, this book uses simple language and detailed images and charts to explain how genetic ancestry testing is done, what it can, and cannot, reveal about a family tree, and the potential unintended consequences of being tested. Sidebars offer information about related topics, such as the Human Genome Project, mitochondrial Eve, and genetic genealogy careers. |
| data science stock images: Encyclopedia of Data Science and Machine Learning Wang, John, 2023-01-20 Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians. |
| data science stock images: Data Science and Its Applications Aakanksha Sharaff, G R Sinha, 2021-08-18 The term data being mostly used, experimented, analyzed, and researched, Data Science and its Applications finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications. |
| data science stock images: Data Science Careers, Training, and Hiring Renata Rawlings-Goss, 2019-08-02 This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build. |
| data science stock images: Edexcel A level Geography Book 1 Third Edition Cameron Dunn, Kim Adams, David Holmes, Simon Oakes, Michael Witherick, Sue Warn, 2016-07-11 Exam Board: Edexcel Level: AS/A-level Subject: Geography First Teaching: September 2016 First Exam: June 2017 Endorsed for Edexcel. Trust the leading A level Geography publisher to boost your students' geographical knowledge and skills with a fully updated edition of our bestselling Student's Book; designed to provide the in-depth subject coverage, developmental activities and exam support you need at a time of curriculum change. - Helps students acquire, apply and revise core knowledge using clear explanations of key geographical content and concepts - Progressively builds the geographical and data skills emphasised in the 2016 specification by offering plenty of opportunities to learn and practise relevant skills for each topic - Brings geographical theory to life with a bank of engaging, up-to-date case studies, examples and place contexts - Consolidates topic knowledge and enables students to track their learning with review questions at the end of each chapter - Prepares students for the demands of AS and A level examinations by including numerous exam-style questions, ideal for skills development and rolling revision throughout the course - Makes it easier for you to meet the increased fieldwork requirements, suggesting topic-focused enquiries for both physical and human geography |
| data science stock images: A/AS Level Geography for AQA Student Book Ann Bowen, Andy Day, Victoria Ellis, Alan Parkinson, Paul Hunt, Claire Kyndt, Rebecca Kitchen, Garrett Nagle, Nicola Walshe, Helen Young, 2016-08-11 A new series of full-coverage resources developed for the AQA 2016 A/AS Level Geography specification. This full-colour Student Book covers all core and optional units for the AQA AS and A Level Geography specification for first teaching from September 2016. Students are encouraged to develop links between physical and human topics, understand systems, processes, and acquire geographical skills. Helping to bridge the gap from GCSE to A Level, it also provides support for fieldwork skills and for the geographical investigation at A Level. A 'Maths for geographers' feature helps students develop and apply their mathematical and statistical skills, and a range of assessment-style questions support students in developing their exam skills. |
| data science stock images: Project Management Waterfall-Agile-It-Data Science Dr. Festus Elleh PhD PMP PMI-ACP, 2023-03-22 This book is intended to introduce learners to waterfall, agile, information technology, and data science project management methodologies. Readers will learn about the concepts, processes, tools, and techniques that are useful for executing projects in waterfall, agile information technology, and data science environments. The objective is for learners to become contributors to the field of project management and deploy a structured approach to managing projects. Learners who read this book will be able to think critically about the concepts and practices of project management and perform exceptionally well in the PMP and PMI-ACP examinations. |
| data science stock images: Data Science in Context Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, 2022-10-20 Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms. |
| data science stock images: Help Your Kids with Geography, Grades 5-10 DK, 2021-08-10 When homework feels like a big mountain to climb for your kids, help them reach the top of their geography class with this unique step-by-step visual guide. Covering all the core subjects for kids ages 10-16, from oceans to volcanoes to climate change and population growth, this invaluable guide allows parents and kids to work together to understand even the trickiest topics. Inside of the pages of this subject aid, you’ll find: • Concepts of human and physical geography, including fieldwork skills, using easy to follow explanations. • Presentations about practical skills necessary for succeeding in the subject. • Key support for developing geography skills at home alongside school studies. Fully revised and updated for 2021 to include global pandemics, climate change, mega cities and data science, Help Your Kids with Geography builds confidence, reduces stress and makes even the most difficult aspects of this subject simple, clear, and accessible for kids in grades 5-11. Brush up on your own knowledge of the earth sciences, weather systems, topography and biogeography with interesting facts to help your kids navigate the longitude and latitude of their homework. Help Your Kids With series covers a range of school subjects like Math, Science, English, Computer Coding and Computer Skills, and there’s even a Help Your Kids With Study Skills to make schoolwork less frustrating for students and parents. |
| data science stock images: The World Atlas of Honey C. Marina Marchese, 2024-10-15 Showcases the wonderful world of honey from hive to jar. A beautifully illustrated global survey of the flavor of honey, The World Atlas of Honey includes profiles of more than eighty countries and the botanical sources of honey found in each. With text, illustrations, and photos, honey expert C. Marina Marchese takes readers through the global history of honey production from the earliest beekeepers to today's harvests. This colorful guide celebrates the exceptional range and diversity of honey, revealing how terroir—the environment in which a food is produced—influences honey's qualities just as it does for wine, olive oil, coffee, and chocolate. The book also covers the methods used by honey sommeliers to taste and evaluate honey. Unique and authoritative, The World Atlas of Honey puts honey on the culinary map and elevates it to an epicurean treasure. |
| data science stock images: Animal Atlas DK, 2021-04-27 This stunning new atlas is your first-class pass on a world tour of the homes of Earth's most incredible animals. The latest exciting title in DK's popular Where on Earth? series maps out the habitats of the world's mammals, fish, birds, reptiles, invertebrates, and more. Whether it's plotting the range of a lion, following the flight paths of birds, tracking great white sharks in the oceans, or exploring the migration of the monarch butterfly, you will see exactly where and how more than 100 extraordinary animal species live. What makes Animal Atlas unique are the maps themselves. Each one is individually commissioned in 3-D, with detail to show the habitat of each animal, as well as its geographic location. This reveals an astonishing amount of information about the behavior of these animals, from how seals are adapted to survive in freezing Antarctic seas to how beetles survive in the heat of the Sahara desert. There is also a focus on the conservation and protection of animals. Maps reveal the shrinking territories of some species, showing where they used to roam in the past compared to what's left of their range today. Whichever animal you're trying to track down, you're sure to find it in Animal Atlas. |
| data science stock images: The Science of the Earth DK, 2022-10-18 Explore the Earth’s natural riches with this beautiful book that brings every corner of the planet, from core to atmosphere, to life! Introducing The Science of Earth - an informative, visually arresting introduction to planet Earth. Did you know that bubbles of ancient air trapped inside the Antarctic ice core can reveal how Earth’s climate has changed over time? Or that a piece of pumice thrown several miles into the air by a volcano helps to explain what happens when tectonic plates collide? Well, now you do! Learn all about our weird and wonderful planet with The Science of Earth. The core of the book features large, detailed photographs of single objects, many of them small enough to be held in the hand, that each speaks volumes about an aspect of Earth’s environments and how they work. Structured around an imaginary journey that takes the reader from the inner core to Earth’s surface (including both land and oceans) and up to the top of the atmosphere, whilst taking in environments such as grasslands, forests, and reefs, the coverage includes both living and inanimate realms! Dive deep into the pages of this awe-inspiring book on Planet Earth to discover: - Spotlights showcasing celebrated sites, such as the Grand Canyon, Mount Everest, and the Great Barrier Reef - Easy-to-read explanations of large-scale Earth processes, such as weather systems and oceanic currents - Study of Earth segments look at breakthroughs our understanding of how the planet works Many of the most beautiful parts of the natural world are beyond reach, but with fascinating feature pages throwing a spotlight on iconic places, such as the Amazon Rainforest or the Dead Sea, or a particular process, such as glacial erosion - this beautifully informative natural history book truly brings them to life. A must-have volume for readers interested in geography, geology, oceanography, meteorology, ecology, or the natural world in general, so whether you have a passion for landscape photography, or you’re a frequent watcher of TV documentaries such as Our Planet, Blue Planet II, and Planet Earth - The Science of Earth is a great addition to the bookshelf of both schools and libraries alike, doubling up as the perfect gift purchase for anyone interested in the natural world. |
| data science stock images: Natural Science Imaging and Photography Michael R. Peres, 2021-03-11 This book provides an in-depth exploration of scientific photography. Highlighting the best practices needed to make, distribute, and preserve scientific visual information using digital photographic methods and technologies, it offers solutions to some of the biggest challenges facing photographers. Written by a team of international, award-winning image makers with over 300 years of cumulative experience, this comprehensive resource explains the foundations used, the tools required, and the steps to needed for creating the optimal photograph in a range of environments and circumstances. Topics covered include: • ethical practices • aerial photography • close-up and macro photography • computational photography • field photography • geological photography • imaging with invisible spectrums • photographing small animals in captivity • time-based imaging • image processing in science Showcasing modern methods, this book equips readers with the skills needed to capture and process the best image possible. Designed for basic and intermediate photographers, Natural Science Imaging and Photography exists as an essential contemporary handbook. |
| data science stock images: History of North America Map by Map DK, 2024-09-24 A visual journey through the history of North America via a series of engaging, detailed maps, explaining key events and eras from prehistory to the 21st century. Specially created maps tell the story of this vast region: the first human populations and the lands of indigenous peoples; the complex ancient civilizations that arose in Mexico; the first Westerners to arrive on the shores, from the Vikings to the Mayflower; early settlements and the devastating consequences for the indigenous population; the stories of enslaved people and the abolition of slavery; the American Revolution and Civil War that shaped the modern United States; the Mexican-American War; the founding of Canada; and the industrial era and the growth of a global superpower. Brand new maps are accompanied by historic maps, documents, and artefacts, while timelines clearly lay out the chronology of events. Each era is introduced and explained, while features offer a closer look at selected moments. Whether for casual browsing or a deep dive into the past, History of North America Map by Map is essential reading for anyone who wants to know more about this fascinating land. |
| data science stock images: The New Solar System Patricia Daniels, 2009 From breathtaking full-color photographs to detailed explanatory diagrams to expert essays, fascinating sidebars, and informative fact boxes, the New Solar System is not just an easy-to-use, solidly reliable reference, but also a visually stunning, invitingly browsable volume guaranteed to fire the imagination of even the most casual reader. |
| data science stock images: The Chemistry Book DK, 2022-08-09 Learn about elements, molecules and compounds in The Chemistry Book. Part of the fascinating Big Ideas series, this book tackles tricky topics and themes in a simple and easy to follow format. Learn about Chemistry in this overview guide to the subject, great for beginners looking to learn and experts wishing to refresh their knowledge alike! The Chemistry Book brings a fresh and vibrant take on the topic through eye-catching graphics and diagrams to immerse yourself in. This captivating book will broaden your understanding of Chemistry, with: - More than 95 of the most important discoveries and theories in the history of chemistry - Packed with facts, charts, timelines and graphs to help explain core concepts - A visual approach to big subjects with striking illustrations and graphics throughout - Easy to follow text makes topics accessible for people at any level of understanding The Chemistry Book is the perfect introduction to the science, aimed at adults with an interest in the subject and students wanting to gain more of an overview. Here you'll discover more than 95 of the most important theories and discoveries in the history of chemistry and the great minds behind them. If you've ever wondered about the key ideas that underpin the core science of chemistry and the pioneers who uncovered them, this is the perfect book for you. Your Chemistry Questions, Simply Explained What is the universe made of? How is matter created? What are the chemical bonds that make life possible? If you thought it was difficult to learn the many laws and concepts of this science, The Chemistry Book presents key information in a clear layout. Learn about the birth of atomic theory, the discovery of polyethylene and the development of new vaccine technologies to combat COVID-19, with fantastic mind maps and step-by-step summaries. And dive into the work of the scientists who have shaped the subject, like John Dalton, Marie Curie, Dmitri Mendeleev, Kathleen Lonsdale, and Stephanie Kwolek. The Big Ideas Series With millions of copies sold worldwide, The Chemistry Book is part of the award-winning Big Ideas series from DK. The series uses striking graphics along with engaging writing, making big topics easy to understand. |
| data science stock images: Costa Rica Erin Foley, Barbara Cooke, Tatiana Ryckman, 2017-04-15 Costa Rica is a diverse Latin American country with flourishing wildlife and ecotourism opportunities. This book gives an in-depth study of the country, examining what makes the country unique. Sure to engage eager travelers, this book is a fantastic resource for anyone wanting to learn more about this incredible, beautiful part of the world. |
| data science stock images: Data Science and Big Data Analytics Durgesh Mishra, |
| data science stock images: Natural Wonders of the World DK, 2017-10-03 Discover Earth's most beautiful and fascinating natural landmarks. From the spectacular granite domes of Yosemite to the reefs of the Bahama Banks and the ice sheets of the Antarctic, this is an unparalleled survey of the world's natural treasures. From the Rocky Mountains to the Great barrier Reef and everything in between, Natural Wonders of the World combines breathtaking landscape photography and illustrations with 3-D terrain models and other explanatory artworks to reveal what lies beneath the surface and explain the geological processes to show how the features were formed. Plants and animals that inhabit each environment are also included, making Natural Wonders of the World a complete celebration of our world. Produced in association with the Smithsonian Institution. |
| data science stock images: Cosmos DK, 2024-10-15 Astonishing images bring every corner of the universe, from Mars to the farthest galaxies, to the printed page. Cosmos is a visually captivating journey through the universe and is as expansive as the cosmos itself. It covers everything from the asteroid belt to deep space probes, the ISS to the Oort Cloud, the Big Bang to the end of the universe, and (just about) everything in between. It presents space as humanity has never seen it before, featuring the latest images from NASA’s James Webb Space Telescope, and a wealth of new pictures that also includes panoramic views of the surface of Mars and images captured by probes that have landed for the first time on comets and asteroids. Cosmos is a tour through space, starting with the sun and inner solar system then moving through the outer planets and into the Milky Way and finally the realm of distant galaxies. The gorgeous images are supported by illustrations that dissect the image or explain the processes going on, such as star birth or the workings of supermassive black holes. Throughout the book are features on the technology of space exploration, the history of astronomy, and our cultural connection to the night sky. With a clear, stylish, pared-back design, Cosmos is a perfect introduction to the wonders of the universe for young and old astronomers alike. Make time for space time! |
| data science stock images: Climate Emergency Atlas Dan Hooke, 2020-10-06 Our house is on fire - it's time to wake up to the climate crisis facing planet Earth before it's too late. This unique graphic atlas tells you everything you need to know about climate change and what we can do to turn things around. Which countries generate the highest CO2 emissions? Which coastal cities are most vulnerable to rising sea levels? What will the polar ice caps look like in 10 years' time? Which countries have successfully harnessed renewable energy sources? Includes facts and figures and more than 30 dynamic maps, Climate Emergency Atlas is clear and easy to understand, making it the perfect reference guide for all young climate activists. |
| data science stock images: Data Analytics for Cultural Heritage Abdelhak Belhi, Abdelaziz Bouras, Abdulaziz Khalid Al-Ali, Abdul Hamid Sadka, 2021-03-25 This book considers the challenges related to the effective implementation of artificial intelligence (AI) and machine learning (ML) technologies to the cultural heritage digitization process. Particular focus is placed on improvements to the data acquisition stage, as well as the data enrichment and curation stages, using advanced artificial intelligence techniques and tools. An emphasis is placed on recent applications related to deep learning for visual recognition, generative models, natural language processing, and super resolution. The book is a valuable reference for researchers working in the multidisciplinary field of cultural heritage and AI, as well as professional experts in the art and culture domains, such as museums, libraries, and historic sites and buildings. Reports on techniques and methods that leverage AI and machine learning and their impact on the digitization of cultural heritage; Addresses challenges of improving data acquisition, enrichment and management processes; Highlights contributions from international researchers from diverse fields and subject areas. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
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 …
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 …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
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 …
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 …
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 enable a …
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 minimum time …
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, released in …
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 from …
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 barriers …
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 to …
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 collected, …
