| deep mob learning guide: The Advanced Strategy Guide to Minecraft Stephen O'Brien, 2014 A book that goes beyond basic-level play of the popular Minecraft computer game covers such topics as automating all aspects of mining, harvesting and building tasks; generating infinite ores on demand; building mob spawners and traps for fast experience gains; sharing one's creations with the world and much more.--Publisher. |
| deep mob learning guide: Federated Deep Learning for Healthcare Amandeep Kaur, Chetna Kaushal, Md. Mehedi Hassan, Si Thu Aung, 2024-10-02 This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information. Features: Offers a thorough introduction of federated deep learning methods designed exclusively for medical applications. Investigates privacy-preserving methods with emphasis on data security and privacy. Discusses healthcare scaling and resource efficiency considerations. Examines methods for sharing information among various healthcare organizations while retaining model performance. This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare. |
| deep mob learning guide: Deep Learning in Adaptive Learning: Educational Behavior and Strategy Chia-Chen Chen, Patrick Hung, Erol Eğrioğlu, Kuo-Lun Hsiao, 2022-09-14 |
| deep mob learning guide: Computing and Machine Learning Jagdish Chand Bansal, |
| deep mob learning guide: Behave Robert M. Sapolsky, 2018-05-01 New York Times bestseller • Winner of the Los Angeles Times Book Prize • One of the Washington Post's 10 Best Books of the Year “It’s no exaggeration to say that Behave is one of the best nonfiction books I’ve ever read.” —David P. Barash, The Wall Street Journal It has my vote for science book of the year.” —Parul Sehgal, The New York Times Immensely readable, often hilarious...Hands-down one of the best books I’ve read in years. I loved it. —Dina Temple-Raston, The Washington Post From the bestselling author of A Primate's Memoir and the forthcoming Determined: A Science of Life Without Free Will comes a landmark, genre-defining examination of human behavior and an answer to the question: Why do we do the things we do? Behave is one of the most dazzling tours d’horizon of the science of human behavior ever attempted. Moving across a range of disciplines, Sapolsky—a neuroscientist and primatologist—uncovers the hidden story of our actions. Undertaking some of our thorniest questions relating to tribalism and xenophobia, hierarchy and competition, and war and peace, Behave is a towering achievement—a majestic synthesis of cutting-edge research and a heroic exploration of why we ultimately do the things we do . . . for good and for ill. |
| deep mob learning guide: Practical Natural Language Processing Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana, 2020-06-17 Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective |
| deep mob learning guide: Presentation Zen Garr Reynolds, 2009-04-15 FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making slide presentations in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations. |
| deep mob learning guide: Advances in Artificial Systems for Logistics Engineering Zhengbing Hu, Qingying Zhang, Sergey Petoukhov, Matthew He, 2021-07-21 This book comprises high-quality refereed research papers presented at the 2021 International Conference on Artificial Intelligence and Logistics Engineering (ICAILE2021), held in Kyiv, Ukraine, on 22–24 January 2021, organized jointly by Wuhan University of Technology, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in artificial intelligence and logistics engineering. It is an excellent source of references for researchers, graduate students, engineers, management practitioners and undergraduate students interested in artificial intelligence and their applications in logistics engineering. |
| deep mob learning guide: Deep Learning Applications, Volume 2 M. Arif Wani, Taghi M. Khoshgoftaar, Vasile Palade, 2020-09-24 This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. |
| deep mob learning guide: The Werewolf's Guide to Life Ritch Duncan, Bob Powers, 2009-09-15 Have you been attacked by a wolf-like creature in the last 30 days? Was it after the sun had set and under a full moon? If you answered, “yes” to both these questions, there’s a very good chance that you were bitten by a werewolf. You now have less than a month before the full moon returns and with it your first transformation into a savage, bloodthirsty beast. Survival is an option, but first, know this: * Werewolves are real. * The majority of lycanthropes who do not have access to this book die during or shortly after their first transformations, generally due to heart failure, gunshot wounds, exposure, drowning or suicide. * Hollywood horror movies are NOT to be used as guides to living as a werewolf. Their goal is not to educate, but to entertain. As a result, they are largely ignorant of the realities of the condition. * Ignorance creates monsters; lycanthropy does not. * You are not a monster. The Werewolf's Guide to Life cuts through the fiction and guides you through your first transformation and beyond, offering indispensable advice on how to tell if you’re really a werewolf, post-attack etiquette, breaking the news to your spouse, avoiding government abduction, and how to not just survive, but thrive. You cannot afford to not read this book. Your very life depends on it. |
| deep mob learning guide: Developments in Cognitive Radio Networks Bodhaswar TJ Maharaj, Babatunde Seun Awoyemi, 2021-07-14 This book provides holistic yet concise information on what modern cognitive radio networks are, how they work, and the possible future directions for them. The authors first present the most generic models of modern cognitive radio networks, taking into consideration their different architectural designs and classifications. While the spectrum resource is shown to be the most important resource for the cognitive radio networks, the book exposes the importance of the other resources that are needed to help drive the technology. The book then discusses in-depth the key tools (such as optimization and queuing theory) and techniques (such as cooperative diversity and relaying) that are being employed to formulate resource problems, investigate solutions, and interpret such solutions for useful and practical modern cognitive radio networks realization. Further, the book studies the impact of modern cognitive radio networks on other emerging technologies -- such as 5G, Internet of Things, and advanced wireless sensor networks -- and discusses the role that cognitive radio networks play in the evolution of smart cities and in the realization of a highly interconnected world. In discussing the future of the cognitive radio networks, the book emphasizes the need to advance new or improved tools, techniques, and solutions to address lingering problems in the aspects of resource realization and utilization, network complexity, network security, etc., which can potentially limit the cognitive radio networks in their stride to becoming one of the most promising technologies for the immediate and near future. |
| deep mob learning guide: What Video Games Have to Teach Us About Learning and Literacy. Second Edition James Paul Gee, 2014-12-02 Cognitive Development in a Digital Age James Paul Gee begins his classic book with I want to talk about video games–yes, even violent video games–and say some positive things about them. With this simple but explosive statement, one of America's most well-respected educators looks seriously at the good that can come from playing video games. This revised edition expands beyond mere gaming, introducing readers to fresh perspectives based on games like World of Warcraft and Half-Life 2. It delves deeper into cognitive development, discussing how video games can shape our understanding of the world. An undisputed must-read for those interested in the intersection of education, technology, and pop culture, What Video Games Have to Teach Us About Learning and Literacy challenges traditional norms, examines the educational potential of video games, and opens up a discussion on the far-reaching impacts of this ubiquitous aspect of modern life. |
| deep mob learning guide: Dive Into Deep Learning Joanne Quinn, Joanne McEachen, Michael Fullan, Mag Gardner, Max Drummy, 2019-07-15 The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself. |
| deep mob learning guide: Skin in the Game Nassim Nicholas Taleb, 2018-02-27 #1 NEW YORK TIMES BESTSELLER • A bold work from the author of The Black Swan that challenges many of our long-held beliefs about risk and reward, politics and religion, finance and personal responsibility In his most provocative and practical book yet, one of the foremost thinkers of our time redefines what it means to understand the world, succeed in a profession, contribute to a fair and just society, detect nonsense, and influence others. Citing examples ranging from Hammurabi to Seneca, Antaeus the Giant to Donald Trump, Nassim Nicholas Taleb shows how the willingness to accept one’s own risks is an essential attribute of heroes, saints, and flourishing people in all walks of life. As always both accessible and iconoclastic, Taleb challenges long-held beliefs about the values of those who spearhead military interventions, make financial investments, and propagate religious faiths. Among his insights: • For social justice, focus on symmetry and risk sharing. You cannot make profits and transfer the risks to others, as bankers and large corporations do. You cannot get rich without owning your own risk and paying for your own losses. Forcing skin in the game corrects this asymmetry better than thousands of laws and regulations. • Ethical rules aren’t universal. You’re part of a group larger than you, but it’s still smaller than humanity in general. • Minorities, not majorities, run the world. The world is not run by consensus but by stubborn minorities imposing their tastes and ethics on others. • You can be an intellectual yet still be an idiot. “Educated philistines” have been wrong on everything from Stalinism to Iraq to low-carb diets. • Beware of complicated solutions (that someone was paid to find). A simple barbell can build muscle better than expensive new machines. • True religion is commitment, not just faith. How much you believe in something is manifested only by what you’re willing to risk for it. The phrase “skin in the game” is one we have often heard but rarely stopped to truly dissect. It is the backbone of risk management, but it’s also an astonishingly rich worldview that, as Taleb shows in this book, applies to all aspects of our lives. As Taleb says, “The symmetry of skin in the game is a simple rule that’s necessary for fairness and justice, and the ultimate BS-buster,” and “Never trust anyone who doesn’t have skin in the game. Without it, fools and crooks will benefit, and their mistakes will never come back to haunt them.” |
| deep mob learning guide: The Change Champion's Field Guide Louis Carter, Roland L. Sullivan, Marshall Goldsmith, Dave Ulrich, Norm Smallwood, 2013-06-11 Nearly a decade later, leading change pioneers in the field have realigned to bring you the second edition of the Change Champion's Fieldguide. This thoroughly revised and updated edition of the Change Champion's Field Guide is filled with the information, tools, and strategies needed to implement a best practice change or leadership development initiative where everyone wins. In forty-five chapters, the guide's contributors, widely acknowledged as the change champions and leaders in the fields of organizational change and leadership development, explore the competencies and practices that define an effective change leader. Change Champions such as Harrison Owen, Edgar Schein, Marv Weisbord, Sandra Janoff, Mary Eggers, William Rothwell, Dave Ulrich, Marshall Goldsmith, Judith Katz, Peter Koestenbaum, Dick Axelrod, David Cooperrider, and scores of others provide their sage advice, practical applications, and examples of change methods that work. Change Champion's Field Guide examines the topic of leadership and change within four main topics including: Key elements of leading successful and results-driven change Tools, models, instruments, and strategies for leading change Critical success and failure factors Trends and research on innovation, change, and leadership Guidelines on how to design, implement, and evaluate change and leadership initiatives Fresh case studies that highlight leading companies who are implementing successful change in innovative and inspired ways. |
| deep mob learning guide: The Great Eastern Railway Company's Tourist Guide to the Continent Great Eastern Railway Company, 1902 |
| deep mob learning guide: e-Learning, e-Education, and Online Training Weina Fu, Shuai Liu, Jianhua Dai, 2021-08-04 This 2-volume set constitutes the proceedings of the 7th International Conference on e-Learning, e-Education, and Online Training, eLEOT 2021, held in Xinxiang, China, in June 2021. The 104 full papers presented were carefully reviewed and selected from 218 submissions. The papers are structured into two subject areas: New Trends of Teaching: Evaluation, Reform and Practice, and Intelligent Learning and Education. They focus on most recent and innovative trends and new technologies of online education which grows quickly and becomes the educational trend today. The theme of eLEOT 2021 was “The Educational Revolution: Opportunities and Challenges brought by COVID-19”. |
| deep mob learning guide: The Thinker's Guide to Socratic Questioning Richard Paul, Linda Elder, 2019-06-01 This volume of the Thinker’s Guide Library introduces readers to powerful methods for questioning that pinpoint underlying beliefs and systems of logic. Richard Paul and Linda Elder show how practical and accessible the Socratic method of inquiry can be and how useful it is when assessing and solving any problem. |
| deep mob learning guide: The Teachers' assistant and pupil teachers' guide , 1878 |
| deep mob learning guide: The Rough Guide to Guatemala Iain Stewart, Mark Whatmore, 2002 Detailed wilderness treks, volcano climbs, and tours of the Mayan ruins are profiled in this lively guide of Guatemala. 38 maps. 24-page full-color section. |
| deep mob learning guide: Sand Talk Tyson Yunkaporta, 2020-05-12 A paradigm-shifting book in the vein of Sapiens that brings a crucial Indigenous perspective to historical and cultural issues of history, education, money, power, and sustainability—and offers a new template for living. As an indigenous person, Tyson Yunkaporta looks at global systems from a unique perspective, one tied to the natural and spiritual world. In considering how contemporary life diverges from the pattern of creation, he raises important questions. How does this affect us? How can we do things differently? In this thoughtful, culturally rich, mind-expanding book, he provides answers. Yunkaporta’s writing process begins with images. Honoring indigenous traditions, he makes carvings of what he wants to say, channeling his thoughts through symbols and diagrams rather than words. He yarns with people, looking for ways to connect images and stories with place and relationship to create a coherent world view, and he uses sand talk, the Aboriginal custom of drawing images on the ground to convey knowledge. In Sand Talk, he provides a new model for our everyday lives. Rich in ideas and inspiration, it explains how lines and symbols and shapes can help us make sense of the world. It’s about how we learn and how we remember. It’s about talking to everyone and listening carefully. It’s about finding different ways to look at things. Most of all it’s about a very special way of thinking, of learning to see from a native perspective, one that is spiritually and physically tied to the earth around us, and how it can save our world. Sand Talk include 22 black-and-white illustrations that add depth to the text. |
| deep mob learning guide: The Book of R Tilman M. Davies, 2016-07-16 The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis. |
| deep mob learning guide: The Motion Picture Guide Jay Robert Nash, Stanley Ralph Ross, 1987 |
| deep mob learning guide: Applications of Remote Image Capture System in Agriculture Ginés García-Mateos, José Miguel Molina-Martínez, 2020-12-04 Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning. This book covers all these aspects, through a series of chapters that describe specific recent applications of these techniques in interesting problems of agricultural engineering. |
| deep mob learning guide: Proceedings of the 12th International Conference on Computer Engineering and Networks Qi Liu, Xiaodong Liu, Jieren Cheng, Tao Shen, Yuan Tian, 2022-10-19 This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity. |
| deep mob learning guide: Machine Learning Approaches for Convergence of IoT and Blockchain Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma, 2021-07-16 MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT Security of the Internet of Things using blockchain and AI Developing smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology. |
| deep mob learning guide: Bioinformatics Applications Based On Machine Learning Pablo Chamoso, Sara Rodríguez González, Mohd Saberi Mohamad, Alfonso González-Briones, 2021-09-01 The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems. |
| deep mob learning guide: Physical Education, Health and Education Innovation Jorge Carlos-Vivas, Noelia Belando Pedreño, Manuel Gómez-López , Paulo Jorge Martins, David Manzano Sánchez, 2024-10-10 Today's society demands to train children and adolescents who develop in an environment based on respect and the promotion of educational values. This aspect is especially relevant to promoting physical activity and its relationship with healthy habits, such as the consumption of unprocessed foods, the reduction of a sedentary lifestyle and the improvement of adherence to sports. In this sense, the World Health Organization warns that the current rates of overweight and obesity are very high and that we must combat them. From formal education, you can help improve healthy habits with educational programs and especially in Physical Education, a subject where the work of physical, social and cognitive well-being has special relevance. Since the 20th century, studies and research that have aimed to combat unhealthy habits in educational centres and sports schools have increased. Not only by promoting physical activity within the school, but above all by seeking to generate adherence towards the future of students and athletes. |
| deep mob learning guide: Machine Learning, Image Processing, Network Security and Data Sciences Nilay Khare, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, Vaibhav Soni, 2023-01-17 This two-volume set (CCIS 1762-1763) constitutes the refereed proceedings of the 4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2022, held in Bhopal, India, in December 2022. The 64 papers presented in this two-volume set were thoroughly reviewed and selected from 399 submissions. The papers are organized according to the following topical sections: machine learning and computational intelligence; data sciences; image processing and computer vision; network and cyber security. |
| deep mob learning guide: The Long Deep Grudge Toni Gilpin, 2020-02-25 “The definitive history of an important but largely forgotten labor organization and its heroic struggles with an icon of industrial capitalism.” —Ahmed A. White, author of The Last Great Strike This rich history details the bitter, deep-rooted conflict between industrial behemoth International Harvester and the uniquely radical Farm Equipment Workers union. The Long Deep Grudge makes clear that class warfare has been, and remains, integral to the American experience, providing up-close-and-personal and long-view perspectives from both sides of the battle lines. International Harvester—and the McCormick family that largely controlled it—garnered a reputation for bare-knuckled union-busting in the 1880s, but in the twentieth century also pioneered sophisticated union-avoidance techniques that have since become standard corporate practice. On the other side the militant Farm Equipment Workers union, connected to the Communist Party, mounted a vociferous challenge to the cooperative ethos that came to define the American labor movement after World War II. This evocative account, stretching back to the nineteenth century and carried through to the present, reads like a novel. Biographical sketches of McCormick family members, union officials and rank-and-file workers are woven into the narrative, along with anarchists, jazz musicians, Wall Street financiers, civil rights crusaders, and mob lawyers. It touches on pivotal moments and movements as wide-ranging as the Haymarket “riot,” the Flint sit-down strikes, the Memorial Day Massacre, the McCarthy-era anti-communist purges, and America’s late twentieth-century industrial decline. “A capitalist family dynasty, a radical union, and a revolution in how and where work gets done—Toni Gilpin’s The Long Deep Grudge is a detailed chronicle of one of the most active battlefronts in our ever-evolving class war.” —John Sayles |
| deep mob learning guide: Class Paul Fussell, 1992 This book describes the living-room artifacts, clothing styles, and intellectual proclivities of American classes from top to bottom. |
| deep mob learning guide: Digital Eye Care and Teleophthalmology Kanagasingam Yogesan, Leonard Goldschmidt, Jorge Cuadros, Giselle Ricur, 2023-06-19 This book describes digital ophthalmology and telemedicine applications for both front of the eye and retina. It includes technical issues, digital imaging, what clinical parameters to use, which technologies are suitable, and collective experiences of practitioners in different parts of the world practicing a wide range of digital eye care delivery. The main purpose of this book is to provide adequate information to clinicians and other health professionals who are involved in eye care delivery to assess how digital health in ophthalmology might be applied to their working practice, how digital screenings are performed, and to learn about virtual image reading. Many of the chapters are also helpful to health service managers, imaging specialists, and information technology staff. Digital Eye Care and Teleophthalmology: A Practical Guide to Applications examines digital eye care to provide state of art ophthalmic services. It is an essential resource for professionals involved in eye care seeking to develop or improve their digital applications in daily practice. |
| deep mob learning guide: Understanding Information Alfons Josef Schuster, 2017-07-26 The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society. On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges. With contributions by authors from a wide range of backgrounds, Understanding Information: From the Big Bang to Big Data will appeal to readers interested in the impact of ‘information’ on modern-day life from a variety of perspectives. |
| deep mob learning guide: Teaching Humanities and Social Sciences Rob Gilbert, Brian Hoepper, 2016-12-19 ‘Teaching the Humanities and Social Sciences 6E’ prepares teachers to develop and implement programs in the humanities and social sciences learning area from F-10. It successfully blends theory with practical approaches to provide a basis for teaching that is engaging, inquiry-based and relevant to students’ lives.--Publisher's website. |
| deep mob learning guide: Mindset Carol S. Dweck, 2007-12-26 From the renowned psychologist who introduced the world to “growth mindset” comes this updated edition of the million-copy bestseller—featuring transformative insights into redefining success, building lifelong resilience, and supercharging self-improvement. “Through clever research studies and engaging writing, Dweck illuminates how our beliefs about our capabilities exert tremendous influence on how we learn and which paths we take in life.”—Bill Gates, GatesNotes “It’s not always the people who start out the smartest who end up the smartest.” After decades of research, world-renowned Stanford University psychologist Carol S. Dweck, Ph.D., discovered a simple but groundbreaking idea: the power of mindset. In this brilliant book, she shows how success in school, work, sports, the arts, and almost every area of human endeavor can be dramatically influenced by how we think about our talents and abilities. People with a fixed mindset—those who believe that abilities are fixed—are less likely to flourish than those with a growth mindset—those who believe that abilities can be developed. Mindset reveals how great parents, teachers, managers, and athletes can put this idea to use to foster outstanding accomplishment. In this edition, Dweck offers new insights into her now famous and broadly embraced concept. She introduces a phenomenon she calls false growth mindset and guides people toward adopting a deeper, truer growth mindset. She also expands the mindset concept beyond the individual, applying it to the cultures of groups and organizations. With the right mindset, you can motivate those you lead, teach, and love—to transform their lives and your own. |
| deep mob learning guide: Ryan's Retina E-Book SriniVas R. Sadda, Andrew P. Schachat, Charles P. Wilkinson, David R. Hinton, Peter Wiedemann, K. Bailey Freund, David Sarraf, 2022-04-13 Through six outstanding and award-winning editions, Ryan's Retina has offered unsurpassed coverage of this complex subspecialty—everything from basic science through the latest research, therapeutics, technology, and surgical techniques. The fully revised 7th Edition, edited by Drs. SriniVas R. Sadda, Andrew P. Schachat, Charles P. Wilkinson, David R. Hinton, Peter Wiedemann, K. Bailey Freund, and David Sarraf, continues the tradition of excellence, balancing the latest scientific research and clinical correlations and covering everything you need to know on retinal diagnosis, treatment, development, structure, function, and pathophysiology. More than 300 global contributors share their knowledge and expertise to create the most comprehensive reference available on retina today. - Features sweeping content updates, including new insights into the fundamental pathogenic mechanisms of age-related macular degeneration, advances in imaging including OCT angiography and intraoperative OCT, new therapeutics for retinal vascular disease and AMD, novel immune-based therapies for uveitis, and the latest in instrumentation and techniques for vitreo-retinal surgery. - Includes five new chapters covering Artificial Intelligence and Advanced Imaging Analysis, Pachychoroid Disease and Its Association with Polypoidal Choroidal Vasculopathy, Retinal Manifestations of Neurodegeneration, Microbiome and Retinal Disease, and OCT-Angiography. - Includes more than 50 video clips (35 new to this edition) highlighting the latest surgical techniques, imaging guidance, and coverage of complications of vitreoretinal surgery. New videos cover Scleral Inlay for Recurrent Optic Nerve Pit Masculopathy, Trauma with Contact Lens, Recurrent Retinal Detachment due to PVR, Asteroid Hyalosis, and many more. - Contains more than 2,000 high-quality images (700 new to this edition) including anatomical illustrations, clinical and surgical photographs, diagnostic imaging, decision trees, and graphs. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices. |
| deep mob learning guide: Volapük Samuel Huebsch, 1887 |
| deep mob learning guide: Artificial Intelligence for Medical Image Analysis of NeuroImaging Data Nianyin Zeng, Siyang Zuo, Guoyan Zheng, Yangming Ou, Tong Tong, 2020-07-03 |
| deep mob learning guide: The Whiz Mob and the Grenadine Kid Colin Meloy, 2017-10-24 From the creators of the New York Times bestselling Wildwood Chronicles comes an original, humorous, and fast-paced middle grade novel about a band of child pickpockets—imagine The Invention of Hugo Cabret meets Oliver Twist. It is an ordinary Tuesday morning in April when bored, lonely Charlie Fisher witnesses something incredible. Right before his eyes, in a busy square in Marseille, a group of pickpockets pulls off an amazing robbery. As the young bandits appear to melt into the crowd, Charlie realizes with a start that he himself was one of their marks. Yet Charlie is less alarmed than intrigued. This is the most thrilling thing that’s happened to him since he came to France with his father, an American diplomat. So instead of reporting the thieves, Charlie defends one of their cannons, Amir, to the police, under one condition: he teach Charlie the tricks of the trade. What starts off as a lesson on pinches, kicks, and chumps soon turns into an invitation for Charlie to join the secret world of the whiz mob, an international band of child thieves who trained at the mysterious School of Seven Bells. The whiz mob are independent and incredibly skilled and make their own way in the world—they are everything Charlie yearns to be. But what at first seemed like a (relatively) harmless new pastime draws him into a dangerous adventure with global stakes greater than he could have ever imagined. |
| deep mob learning guide: Learning to Liberate Vajra Watson, 2012-03-29 Few problems in education are as pressing as the severe crisis in urban schools. Though educators have tried a wide range of remedies, dismal results persist. This is especially true for low-income youth of color, who drop out of school—and into incarceration—at extremely high rates. The dual calamity of underachievement in schools and violence in many communities across the country is often met with blame and cynicism, and with a host of hurtful and unproductive quick fixes: blaming educators, pitting schools against each other, turning solely to the private sector, and ratcheting up the pressure on teachers and students. But real change will not be possible until we shift our focus from finding fault to developing partnerships, from documenting problems to discovering solutions. Learning to Liberate does just that by presenting true and compelling community-based approaches to school reform. Drawing on over three years of ethnographic research, Vajra Watson explores the complicated process of reaching and teaching today's students. She reveals how four nontraditional educators successfully empower young people who have repeatedly been left behind. Using portraiture, a methodology rooted in vivid storytelling, Watson analyzes each educator's specific teaching tactics. Uncovering four distinct pedagogies—of communication, community, compassion, and commitment—she then pulls together their key strategies to create a theoretically grounded framework that is both useful and effective. A poignant, insightful, and practical analysis, Learning to Liberate is a timely resource for all educators and youth-serving practitioners who are committed to transforming at-risk youth into at-promise individuals who put their agency and potential into action in their schools and neighborhoods. |
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DeepSeek | 深度求索
深度求索（DeepSeek），成立于2023年，专注于研究世界领先的通用人工智能底层模型与技术，挑战人工智能前沿性难题。 基于自研训练框架、自建智算集群和万卡算力等资源，深度求索 …
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The meaning of DEEP is extending far from some surface or area. How to use deep in a sentence. Synonym Discussion of Deep.
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If you describe someone as deep, you mean that they are quiet and reserved in a way that makes you think that they have good qualities such as intelligence or determination.
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Coming from or penetrating to a depth: a deep sigh. g. Sports Located or taking place near the outer boundaries of the area of play: deep left field. 2. Extending a specific distance in a given …
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Profound, having great meaning or import, but possibly obscure or not obvious. That is a deep thought! To a significant, not superficial, extent. In extent in a direction away from the observer. …
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DEEP | definition in the Cambridge English Dictionary
DEEP meaning: 1. going or being a long way down from the top or surface, or being of a particular distance from…. Learn more.
DEEP Definition & Meaning | Dictionary.com
in difficult or serious circumstances; in trouble.in a situation beyond the range of one's capability or skill:You're a good student, but you'll be in deep water in medical school.
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The Unofficial Guide to Minecraft Mods Linda Zajac,2019 Minecraft is known as a platform for creativity, and with mods, players can ... Modding Minecraft is the perfect place for your kid to …
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constraints on the video representation. End-to-end deep learning of the video representation [30], [39], [71] demands too many video examples. In [39] for example, Karpathy et al. exploit more …
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Guided Tour to Deep Learning Using MATLAB - ICDST
This version: 4/5/17 8:52 AM Useful links4: • Deep Learning Portal: http://deeplearning.net/ • A curated list of deep learning resources for computer vision:
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Table of contents Getting Started 3 Preface xiii Editors xvii Contributors xix 1 Introduction and Overview 1 Lars Kotthoff, Raphael Sonabend, Natalie Foss and Bernd Bischl
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Guide to Intelligent Data Science Second Edition, 2020 Deep Learning −Deep Learning is the recent evolution of Neural Networks −It covers: −Feedforward networks with many hidden layers (deep …
CURRICULUM VITAE Jyoti Singh Kirar C-32, NTPC Township …
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Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye 1Guibin Chen Wen Zhang Sheng Chen Bo Yuan 1Bo Liu Jia Chen1 Zhao Liu 1Fuhao Qiu Hongsheng Yu …
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38, 47]). However, most of these studies have focused on building domain-specific machine learning (ML) models (i.e., one model for one particular task, such as stress detection [46, 84], …
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This paper introduces MDP homomorphic networks for deep reinforcement learn-ing. MDP homomorphic networks are neural networks that are equivariant under symmetries in the joint …
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action space. There exists limited work on deep reinforce-ment learning-based offloading for MEC networks [18]–[22]. By taking advantage of parallel computing, [19] proposed a distributed deep …
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in deep learning-based techniques such as Convolutional Neu-ral Network (CNN), and researchers have been applying these techniques to solve computer vision and natural language processing …
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Deep Learning This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling. DL applications are widely used in domains such ...
arXiv:2004.14545v2 [cs.LG] 13 Sep 2021
Explainable Deep Learning:A Field Guide for the Uninitiated Explainable Deep Learning: A Field Guide for the Uninitiated GabriëlleRas g.ras@donders.ru.nl Donders Institute for Brain, Cognition …
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arXiv:2307.11237v1 [physics.comp-ph] 20 Jul 2023
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The Simple Guide to Deep Learning - assets.website-files.com
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Introduction to Deep Learning Using R - Springer
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