foundations of deep reinforcement learning laura graesser wah loon keng

Foundations of Deep Reinforcement Learning - Laura Graesser, Wah Loon Keng

In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: Components of an RL system, including environment and agents Value-based algorithms: SARSA, Q-learning and extensions, offline learning Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques Combined methods: Actor-Critic and extensions; scalability through async methods Agent evaluation Advanced and experimental techniques, and more How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise Provides ... Unknown localization key: "more"

Objev podobné jako Foundations of Deep Reinforcement Learning - Laura Graesser, Wah Loon Keng

Grokking Deep Reinforcement Learning - Miguel Morales

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You''ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for ... Unknown localization key: "more"

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that’s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on ... Unknown localization key: "more"

Objev podobné jako Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

Deep Reinforcement Learning - Aske Plaat

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world''s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects'' desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses ... Unknown localization key: "more"

Objev podobné jako Deep Reinforcement Learning - Aske Plaat

An Introduction to Deep Reinforcement Learning - Vinod K. Mishra

This book covers most of the areas of DRL with a special focus on its mathematical and algorithmic foundations. It is a useful guide for undergraduate and early graduate students to the fast-developing areas of DRL and its myriad applications.

Objev podobné jako An Introduction to Deep Reinforcement Learning - Vinod K. Mishra

Deep Learning Crash Course - Benjamin Midtvedt, Jesus Pineda, Giovanni Volpe

Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Objev podobné jako Deep Learning Crash Course - Benjamin Midtvedt, Jesus Pineda, Giovanni Volpe

Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field''s key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has ... Unknown localization key: "more"

Objev podobné jako Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

The Science of Deep Learning - Iddo Drori

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

Objev podobné jako The Science of Deep Learning - Iddo Drori

Math and Architectures of Deep Learning - Krishnendu Chaudhury

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you''ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It''s important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You''ll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you''ll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that''s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept ... Unknown localization key: "more"

Objev podobné jako Math and Architectures of Deep Learning - Krishnendu Chaudhury

Reinforcement Learning - Phil Winder Ph.D.

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself.

Objev podobné jako Reinforcement Learning - Phil Winder Ph.D.

Deep Learning for Natural Language Processing - Stephan Raaijmakers

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related ... Unknown localization key: "more"

Objev podobné jako Deep Learning for Natural Language Processing - Stephan Raaijmakers

Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

If you''ve been curious about artificial intelligence and machine learning but didn''t know where to start, this is the book you''ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you''ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models'' performance. You''ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they''re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You''ll conduct experiments along the way, building to a final case study that incorporates everything you''ve learned. This second edition is thoroughly revised and updated, and adds ... Unknown localization key: "more"

Objev podobné jako Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

Deep Learning with PyTorch - Eli Stevens, Luca Antiga

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you''ll discover just how effective and fun PyTorch can be. Key features • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because ... Unknown localization key: "more"

Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga

Learning Deep Learning - Magnus Ekman

NVIDIA''s Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today''s exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus ... Unknown localization key: "more"

Objev podobné jako Learning Deep Learning - Magnus Ekman

Understanding Deep Learning - Simon J.D. Prince

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion modelsShort, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of modelsStreamlined presentation separates critical ideas from background context and extraneous detailMinimal mathematical prerequisites, extensive illustrations, and practice problems make challenging ... Unknown localization key: "more"

Objev podobné jako Understanding Deep Learning - Simon J.D. Prince

Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, Third Edition - Aubrey Daniels

Maximize employee performance with this updated edition of the classic bestsellerIn Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, renowned thought leader and internationally recognized workplace expert Aubrey Daniels takes a look at today’s rapidly changing work environment, providing a timely update to his seminal book on performance management.As one of the foremost speakers and writers in the human performance field, for nearly 40 years Daniels has worked with organizations to apply scientifically-based behavioral tools and principles to effectively address workplace issues—particularly as they relate to management, leadership, culture, innovation, safety, engagement, and collaboration.Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, presents Daniels’ proven strategies that have been successfully adopted by hundreds of organizations worldwide—ranging from start-ups to Fortune 100 companies—and delivers step-by-step instruction and positive practices to help you implement and sustain positive change.With a behavioral foundation and new chapters on employee engagement and the impact of the exponential increase in technology, this latest edition features all new examples, updated approaches to effective recognition and rewards systems, tips for stimulating and fostering innovation and creativity, and productive ways to embrace and empower the multi-generational workforce, ... Unknown localization key: "more"

Objev podobné jako Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, Third Edition - Aubrey Daniels

Foundations of Physical Activity and Public Health - Deborah Salvo, Tinker D. Murray, Harold W. Kohl

Foundations of Physical Activity and Public Health, Third Edition With HKPropel Access, is the first textbook of its kind to explore concepts in public health and kinesiology, measurement of physical activity, and the impact of exercise and physical activity on health. This text empowers students to advance the use of physical activity as a significant component in public health initiatives. Presented in full color, Foundations of Physical Activity and Public Health uses tables, graphs, and figures to clarify complex topics, and it reflects information presented in the Physical Activity Guidelines for Americans. An underlying theme in this third edition is health equity and health disparities viewed through a physical activity lens. New sidebars devoted specifically to those topics are woven throughout the text, along with sidebars and references that have been refreshed with the latest information. Additional content updates to the third edition cover these topics: Brain health and immunity as they relate to physical activity and public health science The physical activity paradox hypothesis The current status of physical activity levels for children and adolescents Comprehensive community-wide programs to increase physical activity Related online content is delivered through HKPropel to enhance student learning. The materials include downloadable review questions; ... Unknown localization key: "more"

Objev podobné jako Foundations of Physical Activity and Public Health - Deborah Salvo, Tinker D. Murray, Harold W. Kohl

Philosophical Foundations of Neuroscience - M. R. Bennett, P. M. S. Hacker

The second edition of the seminal work in the field—revised, updated, and extended  In Philosophical Foundations of Neuroscience, M.R. Bennett and P.M.S. Hacker outline and address the conceptual confusions encountered in various neuroscientific and psychological theories. The result of a collaboration between an esteemed philosopher and a distinguished neuroscientist, this remarkable volume presents an interdisciplinary critique of many of the neuroscientific and psychological foundations of modern cognitive neuroscience. The authors point out conceptual entanglements in a broad range of major neuroscientific and psychological theories—including those of such neuroscientists as Blakemore, Crick, Damasio, Dehaene, Edelman, Gazzaniga, Kandel, Kosslyn, LeDoux, Libet, Penrose, Posner, Raichle and Tononi, as well as psychologists such as Baar, Frith, Glynn, Gregory, William James, Weiskrantz, and biologists such as Dawkins, Humphreys, and Young. Confusions arising from the work of philosophers such as Dennett, Chalmers, Churchland, Nagel and Searle are subjected to detailed criticism. These criticisms are complemented by constructive analyses of the major cognitive, cogitative, emotional and volitional attributes that lie at the heart of cognitive neuroscientific research. Now in its second edition, this groundbreaking work has been exhaustively revised and updated to address current issues and critiques. New discussions offer insight into functional magnetic resonance imaging ... Unknown localization key: "more"

Objev podobné jako Philosophical Foundations of Neuroscience - M. R. Bennett, P. M. S. Hacker

Foundations of Sport and Exercise Psychology - Daniel Gould, Robert S. Weinberg

Foundations of Sport and Exercise Psychology, Eighth Edition With HKPropel Access, is a leading textbook that offers a comprehensive view of sport and exercise psychology. It draws connections between research and practice, and it captures the excitement of the world of sport and exercise.Internationally respected authors Robert Weinberg and Daniel Gould have built a text that addresses emerging trends and remains relevant with each new edition. Every chapter has been updated with the latest research and practice in sport and exercise psychology while maintaining and highlighting classic studies that have shaped the field. In-depth learning aids have been refreshed to help students think critically. Specific content changes were made throughout the text to highlight significant advances in research and practices. These include areas such as mental health of athletes, effects of COVID-19 on athletes, mindfulness, legalized gambling, psychological issues surrounding the 2020 Olympic Games (held in 2021), and drug controversies.Foundations of Sport and Exercise Psychology provides students with a unique learning experience-starting with an exploration of the field’s origins, key concepts, research development, and career options available in the field. After this introduction to the field, the text shifts to personal factors that affect performance and behavior in sport, physical ... Unknown localization key: "more"

Objev podobné jako Foundations of Sport and Exercise Psychology - Daniel Gould, Robert S. Weinberg

Foundations of the Theory of Elasticity, Plasticity, and Viscoelasticity - Eduard Starovoitov, Faig Bakhman Ogli Naghiyev

Foundations of the Theory of Elasticity, Plasticity, and Viscoelasticity details fundamental and practical skills and approaches for carrying out research in the field of modern problems in the mechanics of deformed solids, which involves the theories of elasticity, plasticity, and viscoelasticity. The book includes all modern methods of research as well as the results of the authors’ recent work and is presented with sufficient mathematical strictness and proof.The first six chapters are devoted to the foundations of the theory of elasticity. Theory of stress-strain state, physical relations and problem statements, variation principles, contact and 2D problems, and the theory of plates are presented, and the theories are accompanied by examples of solving typical problems.The last six chapters will be useful to postgraduates and scientists engaged in nonlinear mechanics of deformed inhomogeneous bodies. The foundations of the modern theory of plasticity (general, small elastoplastic deformations and the theory of flow), linear, and nonlinear viscoelasticity are set forth. Corresponding research of three-layered circular plates of various materials is included to illustrate methods of problem solving. Analytical solutions and numerical results for elastic, elastoplastic, lineaer viscoelastic and viscoelastoplastic plates are also given. Thermoviscoelastoplastic characteristics of certain materials needed for numerical account are presented ... Unknown localization key: "more"

Objev podobné jako Foundations of the Theory of Elasticity, Plasticity, and Viscoelasticity - Eduard Starovoitov, Faig Bakhman Ogli Naghiyev

The Foundations of Chinese Medicine - Giovanni Maciocia

The latest edition of this hugely popular volume continues to provide readers in the West with a clear explanation of the theory and practice of Chinese medicine. Richly illustrated and fully updated throughout, Foundations of Chinese Medicine retains its careful structure to present the subject in a systemized manner which ranges from first principles to the diagnosis and management of a wide range of disease states. NOW WITH AN ACCOMPANYING WEBSITE containing an extensive bank of review and test material, the latest edition of this important volume has been redesigned to provide a more accessible, up-to-date feel to the content to enhance the reader?s learning experience. Offering a unique combination of rigorous scholarship together with a wealth of clinical experience, Maciocia?s Foundations of Chinese Medicine will be ideal for all students of Chinese medicine, acupuncture and Chinese herbal medicine as well as qualified practitioners needing to stay up-to-date with changes in the field. "For the student or practitioner of Chinese medicine this is a definitive text book." Reviewed by Jim Young on behalf of glycosmedia.com, Aug 2015 25th Anniversary edition of the Western world's best-selling book on Chinese medicine! Logical, sequential organization builds from basic theoretical concepts, through functions of ... Unknown localization key: "more"

Objev podobné jako The Foundations of Chinese Medicine - Giovanni Maciocia

Foundations of Chemistry - Philippa B. Cranwell, Elizabeth M. Page

FOUNDATIONS OF CHEMISTRY A foundation-level guide to chemistry for physical, life sciences and engineering students Foundations of Chemistry: An Introductory Course for Science Students fills a gap in the literature to provide a basic chemistry text aimed at physical sciences, life sciences and engineering students. The authors, noted experts on the topic, offer concise explanations of chemistry theory and the principles that are typically reviewed in most one year foundation chemistry courses and first year degree-level chemistry courses for non-chemists. The authors also include illustrative examples and information on the most recent applications in the field. Foundations of Chemistry is an important text that outlines the basic principles in each area of chemistry - physical, inorganic and organic - building on prior knowledge to quickly expand and develop a student's knowledge and understanding. Key features include: Worked examples showcase core concepts and practice questions. Margin comments signpost students to knowledge covered elsewhere and are used to highlight key learning objectives. Chapter summaries list the main concepts and learning points.

Objev podobné jako Foundations of Chemistry - Philippa B. Cranwell, Elizabeth M. Page

Foundations of Finance, Global Edition - John Martin, Arthur Keown, J. Petty

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. For undergraduate corporate finance courses. The five key principles for the foundations of finance Foundations of Finance retains its foundational approach to the key concepts of finance, bolstered by real-world vignettes, cases, and problem exercises. Utilizing five principles, which are presented at the beginning of the book and applied throughout, the authors introduce a multi-step approach to financial problem solving that appeals to students’ (at all levels) math and numerical skills. As with previous editions, the 10th Edition, Global Edition focuses on valuation and opens every chapter with a vignette based on financial decisions faced by contemporary, real-world companies and firms. Revised and updated, the text features new lecture videos, financial thinking, user feedback, and changes inspired by the passage of the Tax Cuts and Jobs Act of 2017 in the United States of America, so students are well equipped to effectively deal with financial problems in an ever-changing financial environment. MyLab Finance is not included. Students, if MyLab Finance is a recommended/mandatory component of the course, ... Unknown localization key: "more"

Objev podobné jako Foundations of Finance, Global Edition - John Martin, Arthur Keown, J. Petty

Foundations of Art Therapy

Foundations of Art Therapy: Theory and Applications is an essential and comprehensive introduction to the field of art therapy that blends relevant psychological and neuroscience research, theories, and concepts and infuses cultural diversity throughout each chapter. The text includes full color photos, informative charts, and case examples and is divided into four parts beginning with the basics of art therapy knowledge and concluding with professional practices in art therapy. The fundamentals of art therapy section includes coverage of art therapy founders, art materials, multicultural perspectives, intersections with neuroscience, and research methods. An overview and in-depth explorations of different theoretical approaches to the practice of art therapy are covered in the second part of the book. A bio-psycho-social approach integrates current research on art therapy with specific populations (children, mental health, older adults, and trauma). The book concludes with art therapy professional practices in group concepts, community-based art therapy, and developing a career in the field. Each chapter contains chapter objectives, practical applications, ethical considerations, reflection questions, experiential exercises, and a list of terms. The unique, practical, and interdisciplinary approach of this text provides a solid base for understanding the field of art therapy and is well suited for use in ... Unknown localization key: "more"

Objev podobné jako Foundations of Art Therapy

Foundations of Behavioral Neuroscience, Global Edition - Melissa Birkett, Neil Carlson

Gain a strong foundation in the theory and practice of Behavioural Neuroscience with this comprehensive text. Foundations of Behavioral Neuroscience, 10th edition, Global Edition, by Neil R. Carlson and Melissa A. Birkett, offers a concise yet comprehensive introduction to behavioural neuroscience. Incorporating a good balance of human and animal studies, the authors expertly guide you through the subject helping you grasp the key concepts. The text ensures you are well equipped with strong theoretical knowledge, but also teaches you how to apply theory and research findings to real life, as well as how to better understand your own behaviour. The 10th edition brings with it fresh perspectives from new co-author Melissa Birkett, as well as incorporating the latest studies in this rapidly changing field. Additions to this version include a new chapter on movement added in response to faculty feedback. Perfect for courses in Physiological Psychology or Biopsychology, this text will equip you with the skills to excel in your course. Organise your students'' learning and improve results with the Revel® Edition for this text. The interactive, digital, and mobile learning environment that replaces the traditional printed text and empowers students to actively participate in learning. More than a digital ... Unknown localization key: "more"

Objev podobné jako Foundations of Behavioral Neuroscience, Global Edition - Melissa Birkett, Neil Carlson

Foundations of Digital Art and Design with Adobe Creative Cloud - xtine burrough

Foundations of Digital Art and Design, Second Edition Fuses design fundamentals and software training into one cohesive approach! All students of digital design and production–whether learning in a classroom or on their own–need to understand the basic principles of design. These principles are often excluded from books that teach software. Foundations of Digital Art and Design reinvigorates software training by integrating design exercises into tutorials that fuse design fundamentals and core Adobe Creative Cloud skills. The result is a comprehensive design learning experience organized into five sections that focus on vector art, photography, image manipulation, typography, and effective work habits for digital artists. Design topics and principles include: Bits, Dots, Lines, Shapes, Unity, Rule of Thirds, Zone System, Color Models, Collage, Appropriation, Gestalt, The Bauhaus Basic Course Approach, Continuity, Automation, and Revision. This book: Teaches art and design principles with references to contemporary digital art alongside digital tools and processes in Adobe Creative Cloud Addresses the growing trend of compressing design fundamentals and design software into the same course in universities and design colleges Times each lesson to be used in 50 to 90-minute class sessions with additional practice materials available online Includes free video screencasts that demonstrate key concepts ... Unknown localization key: "more"

Objev podobné jako Foundations of Digital Art and Design with Adobe Creative Cloud - xtine burrough

System Design for Epidemics Using Machine Learning and Deep Learning

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

Objev podobné jako System Design for Epidemics Using Machine Learning and Deep Learning

Philosophical Foundations of Psychotherapy - James Costello

Philosophical Foundations of Psychotherapy promotes a critical understanding of the ideas, traditions, values, and principles that inform and shape – for better or for worse – what therapists do.The book challenges the unhelpful misconception that philosophy is for philosophers alone, because human reality is too complex for therapists to be unaware of the foundations, difficulties, and contradictions within our value systems, ethics, and assumptions. By retrieving attitudes from other times and other places, traversing the relational contours of history right up to contemporary thinkers and practitioners, the author argues that not only do relationships heal, but they offer the only safe harbour in life’s sea of troubles. He promotes a conscientious radical relationality, which remains attentive to its influences, including contemporary debates about our neoliberal selves, the superstructures of culture, and the ethics of authenticity. In stepping back from the sometimes- narrow concerns of our therapeutic methods, the book explores broader themes important for living well: what is the good of therapy, how do we reconcile our sense of futility in the face of an indifferent universe, postcolonial debates, responses to disembodied artificial intelligence, and alternatives to our human- centred stance towards Nature.This book is primarily for practitioners, trainees, and ... Unknown localization key: "more"

Objev podobné jako Philosophical Foundations of Psychotherapy - James Costello

Foundations of Safety Science - Sidney Dekker

How are today’s ‘hearts and minds’ programs linked to a late-19th century definition of human factors as people’s moral and mental deficits? What do Heinrich’s ‘unsafe acts’ from the 1930’s have in common with the Swiss cheese model of the early 1990’s? Why was the reinvention of human factors in the 1940’s such an important event in the development of safety thinking? What makes many of our current systems so complex and impervious to Tayloristic safety interventions? ‘Foundations of Safety Science’ covers the origins of major schools of safety thinking, and traces the heritage and interlinkages of the ideas that make up safety science today.FeaturesOffers a comprehensive overview of the theoretical foundations of safety science Provides balanced treatment of approaches since the early 20th century, showing interlinkages and cross-connections Includes an overview and key points at the beginning of each chapter and study questions at the end to support teaching use Uses an accessible style, using technical language where necessary Concentrates on the philosophical and historical traditions and assumptions that underlie all safety approaches

Objev podobné jako Foundations of Safety Science - Sidney Dekker

Foundations and Methods of Stochastic Simulation - Barry L. Nelson, Linda Pei

This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the majority of the book is programming language independent. In addition to covering the foundations of simulation and simulation programming for applications, the text prepares readers to use simulation in their research. A solutions manual for end-of-chapter exercises is available for instructors.

Objev podobné jako Foundations and Methods of Stochastic Simulation - Barry L. Nelson, Linda Pei

Quantum Mechanical Foundations of Molecular Spectroscopy - Max Diem

A concise textbook bridging quantum theory and spectroscopy! Designed as a practical text, Quantum Mechanical Foundations of Molecular Spectroscopy covers the quantum mechanical fundamentals of molecular spectroscopy from the view of a professional spectroscopist, rather than a theoretician. Written by a noted expert on the topic, the book puts the emphasis on the relationship between spectroscopy and quantum mechanics, and provides the background information and derivations of the subjects needed to understand spectroscopy including: stationary energy states, transitions between these states, selection rules, and symmetry. The phenomenal growth of all forms of spectroscopy over the past eight decades has contributed enormously to our understanding of molecular structure and properties. Today spectroscopy covers a broad field including the modern magnetic resonance techniques, non-linear, laser and fiber-based spectroscopy, surface and surface-enhanced spectroscopy, pico- and femtosecond time resolved spectroscopy, and many more. This up-to-date resource discusses several forms of spectroscopy that are used in many fields of science, such as fluorescence, surface spectroscopies, linear and non-linear Raman spectroscopy and spin spectroscopy. This important text: Contains the physics and mathematics needed to understand spectroscopyExplores spectroscopic methods the are widely used in chemistry, biophysics, biology, and materials scienceOffers a text written by an experienced lecturer ... Unknown localization key: "more"

Objev podobné jako Quantum Mechanical Foundations of Molecular Spectroscopy - Max Diem

The Ethical Foundations of Social Work - Annie Pullen Sansfacon, Stephen Cowden

The Ethical Foundations of Social Work offers an engaging, theoretically rigorous and practice-orientated grounding in social work ethics. Fully revised and expanded, with the addition of four new chapters on Decolonial Ethics, Social Work and Radicalization, the Ethics of Recognition, and Epistemic Injustice, this book examines when, how and why principles and debates have historically emerged, and explicitly map them onto everyday ethical challenges and situations in social work practice. By presenting and explaining key theories and applying them to real-world practice examples from different regions, Ethical Foundations of Social Work guides social work students and practitioners in developing ethical reasoning to support ethical decision-making in diverse contexts.Promoting an ethically ''conscious'' approach in which principles are integrated flexibly and confidently as tools for critical problem solving, this book serves as a core or supplemental textbook for Social Work Ethics courses at undergraduate or postgraduate levels.

Objev podobné jako The Ethical Foundations of Social Work - Annie Pullen Sansfacon, Stephen Cowden

Clinical Sports Medicine: Foundations of Clinical Practice - Karim Khan, Peter Brukner

“I’ve worked in a wide range of settings and been fortunate to teach health professionals and to learn from the best. Despite all that experience, I still find Clinical Sports Medicine extremely useful. It makes me, and my athletes, better. Very easy to quickly check in the clinic. Love every new edition—have not been disappointed.”Mario Bizzini, PT, PhD, Former Executive Board Member, International Federation of Sports Physical Therapy (IFSPT)Now in its sixth edition, the world-leading series Brukner & Khan’s Clinical Sports Medicine is a practical guide to physiotherapy and musculoskeletal medicine. Written for students and those early in their careers, this first book in the collection, Foundations of Clinical Practice, guides you on how to be a great patient-focused clinician. It lays out the clinical sciences that underpin our field, and details the principles of assessment and multidisciplinary treatment.Key features• 87 practice pearls that turn years of clinical experience into expert advice• 380 figures, 280 of which are new to this edition• 74 feature boxes to highlight advanced clinical issues• 69 QR codes with hours of additional contentWhat’s new• Chapter outline, learning objectives and key points for every chapter• 16 new chapters covering how to be a better clinician, how ... Unknown localization key: "more"

Objev podobné jako Clinical Sports Medicine: Foundations of Clinical Practice - Karim Khan, Peter Brukner

Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

On publication in 2009 John Hattie’s Visible Learning presented the biggest ever collection of research into what actually work in schools to improve children’s learning. Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing education’s ‘holy grail’. Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how it’s underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development. The book is structured in three parts – ‘learning within classrooms’, ‘learning ... Unknown localization key: "more"

Objev podobné jako Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

Reinforcement Learning for Finance - Yves Hilpisch

Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners, financial traders, portfolio managers, strategists, and analysts will focus on the implementation of these algorithms in the form of self-contained Python code and the application to important financial problems.

Objev podobné jako Reinforcement Learning for Finance - Yves Hilpisch

State of Paradise - Laura van den Berg

One of Time''s 100 Must-Read Books of 2024. A New York Times Book Review Editors'' Choice. Named a Best Book of 2024 by Vanity Fair, NPR, ELLE, and Kirkus. Longlisted for the 2024 Joyce Carol Oates Prize. "A brilliant ghost story and a profoundly moving and atmospheric meditation on place, memory, and the very nature of reality, where everything is truly not as it seems." —Mona Awad, author of Rouge"At once an adventure and a treat, a deep study of Florida''s psychogeography and a creepy story about ghosts, missing people, cults, and technology. Don''t miss it." —Gabino Iglesias, NPRA heart-racing fun house of uncanniness hidden in Florida’s underbelly from the celebrated Laura van den BergIt’s another summer in a small Florida town. After an illness that vanishes as mysteriously as it arrived, everything appears to be getting back to normal: soul-crushing heat, torrential downpours, sinkholes swallowing the earth, ominous cats, a world-bending virtual reality device being handed out by a company called ELECTRA, and an increasing number of posters dotting the streets with the faces of missing citizens. Living in her mother’s home, a ghostwriter for a famous thriller author tracks the eerie changes. On top of everything else, she’s ... Unknown localization key: "more"

Objev podobné jako State of Paradise - Laura van den Berg

The Foundations of Buddhism - Rupert Gethin

Buddhism is a vast and complex religious and philosophical tradition with a history that stretches over 2,500 years, and which is now followed by around 115 million people. In this introduction to the foundations of Buddhism, Rupert Gethin concentrates on the ideas and practices which constitute the common heritage of the different traditions of Buddhism (Thervada, Tibetan, and Eastern) which exist in the world today. From the narrative of the story of the Buddha, through discussions of aspects such as textual traditions, the framework of the Four Noble Truths, the interaction between the monastic and lay ways of life, the cosmology of karma and rebirth, and the path of the bodhisattva, this books provides a stimulating introduction to Buddhism as a religion and way of life, which will also be of interest to those who are more familiar with the subject.

Objev podobné jako The Foundations of Buddhism - Rupert Gethin

Foundations of Marketing, 7e - David Jobber, John Fahy

Have you wondered how marketers use data and technology to capture relevant information on their target audience? Or how marketers in today’s world deal with questions around sustainability, climate change and planned product obsolescence? In its 7th edition, Foundations of Marketing aims to answer these pressing questions. This leading textbook is packed with contemporary examples and case studies that highlight the real-world applications of marketing concepts. Discover: • The growing importance of social marketing• How organisations are leveraging consumer data to make decisions and drive customer retention and conversion levels• The role of brand communities, peer-to-peer marketing and social influencers• Both a Managerial and Consumer approach to marketingKey features: • Marketing Spotlights highlight the marketing innovations of brands such as Zoom, Rent the Runway, John Lewis and Patagonia.• Marketing in Action boxes offer modern examples of real marketing campaigns in the UK, Denmark, The Netherlands and internationally. • Critical Marketing Perspective boxes encourage students to critically reflect on ethical debates and stimulate student discussion and analysis about socially responsible practices.• End of Chapter Case Studies covering Starbucks, Patek Philipe, Spotify and Depop provides students with an in-depth analysis of companies’ marketing strategies. Each case study has dedicated questions to encourage ... Unknown localization key: "more"

Objev podobné jako Foundations of Marketing, 7e - David Jobber, John Fahy

Foundations of Economics, Global Edition - Michael Parkin, Robin Bade

For principles of economics courses. An engaging, practice-oriented approach to understanding core economic principles Foundations of Economics introduces economic principles students can use to navigate the financial decisions of their futures. Each chapter concentrates on 3 to 4 ideas, with each idea reinforced several times throughout the text. This patient approach helps guide learners through unfamiliar terrain and focuses them on key concepts and skills, like reading and interpreting graphs. The 9th Edition motivates with compelling issues and encourages learning with practice questions, to help students grasp and apply economic principles to the real world. Hallmark features of this titleA focus on core ideas Each chapter concentrates on 3 or 4 ideas and later revisits them, to help students navigate the material and focus on key concepts. Examples and applications examine the economic factors behind key issues facing the world, such as US protection, how the sharing economy intensifies competition, and minimum wage. An emphasis on outcome-driven teaching and learning The content is presented in diagrams, words and tables to appease students who are apprehensive about working with graphs. The text leaves room for flexibility for professors who want to cover the material in a different order. New and updated ... Unknown localization key: "more"

Objev podobné jako Foundations of Economics, Global Edition - Michael Parkin, Robin Bade

Foundations of Mixed Methods Research - Robert Burke Johnson, Abbas Tashakkori, Charles B. Teddlie

The highly-anticipated second edition of the Foundations of Mixed Methods Research:Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences gives students a comprehensive overview of mixed methods from philosophical roots and traditions through designing, conducting, and disseminating a study. Authors Abbas Tashakkori, R. Burke Johnson, and Charles Teddlie have thoroughly updated the text to reflect the many advances over the last decade in mixed methods. New example studies throughout and a new appendix highlight the latest research on mixed methods and current best practices. New sections on evaluating quality in mixed methods studies and writing up research results round out the process of mixed methods research. The authors have added features like content summaries and objectives at the beginning of each chapter and chapter summaries and previews at the end of each chapter to aid readers in their mixed methods journey. Students across social science, behavioral science, and health and nursing fields are now expected to be proficient in mixed methods research. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods, from research design and data collection through to analysis ... Unknown localization key: "more"

Objev podobné jako Foundations of Mixed Methods Research - Robert Burke Johnson, Abbas Tashakkori, Charles B. Teddlie

Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen

This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition''s expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: ... Unknown localization key: "more"

Objev podobné jako Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen

Foundations of Modern Networking - William Stallings

Foundations of Modern Networking is a comprehensive, unified survey of modern networking technology and applications for today’s professionals, managers, and students. Dr. William Stallings offers clear and well-organized coverage of five key technologies that are transforming networks: Software-Defined Networks (SDN), Network Functions Virtualization (NFV), Quality of Experience (QoE), the Internet of Things (IoT), and cloudbased services. Dr. Stallings reviews current network ecosystems and the challenges they face–from Big Data and mobility to security and complexity. Next, he offers complete, self-contained coverage of each new set of technologies: how they work, how they are architected, and how they can be applied to solve real problems. Dr. Stallings presents a chapter-length analysis of emerging security issues in modern networks. He concludes with an up-to date discussion of networking careers, including important recent changes in roles and skill requirements. Coverage: Elements of the modern networking ecosystem: technologies, architecture, services, and applications Evolving requirements of current network environments SDN: concepts, rationale, applications, and standards across data, control, and application planes OpenFlow, OpenDaylight, and other key SDN technologies Network functions virtualization: concepts, technology, applications, and software defined infrastructure Ensuring customer Quality of Experience (QoE) with interactive video and multimedia network traffic Cloud networking: services, deployment ... Unknown localization key: "more"

Objev podobné jako Foundations of Modern Networking - William Stallings

Foundations of Mental Health Care - Michelle Morrison-Valfre

Build a broad fundamental knowledge of mental health concepts and disorders! Foundations of Mental Health Care, 7th Edition uses an easy-to-read, multi-disciplinary approach to describe the treatment of clients with mental health disorders. Ideal for nurses and other caregivers, this guide provides in-depth coverage of issues and principles, therapeutic skills, mental health problems throughout the lifecycle, and specific psychological and psychosocial conditions. This edition is updated with the latest information on violence, suicide, substance abuse, and more. Written by expert educator Michelle Morrison-Valfre, this resource enables you to provide effective therapy to clients with a wide range of maladaptive behaviors. DSM-5 criteria are used in the descriptions of all mental health disorders. Sample client care plans show how members of the health care team work collaboratively to meet client needs. Case studies provide realistic client situations that illustrate chapter concepts and strengthen critical thinking. Critical Thinking boxes contain thought-provoking client issues and questions, helping students develop skills in clinical reasoning. Drug Alert boxes identify the risks and possible adverse reactions of psychotherapeutic medications. Cultural Consideration boxes highlight cultural issues and address the mental health needs of culturally diverse clients. Get Ready for the NCLEX (R) feature includes NCLEX-PN review questions, ... Unknown localization key: "more"

Objev podobné jako Foundations of Mental Health Care - Michelle Morrison-Valfre

An Introduction to Theories of Learning - Julio J. Ramirez, Matthew H. Olson

Since its first edition, An Introduction to Theories of Learning has provided a uniquely sweeping review of the major learning theories from the 20th century that profoundly influenced the field of psychology. In this tenth edition, the authors present further experimental evidence that tests many of the fundamental ideas presented in these classic theories, as well as explore many of the advances in psychological science and neuroscience that have yielded greater insight into the processes that underlie learning in human beings and animals. The four main goals of this text are to define learning and to show how the learning process is studied (Chapters 1 and 2), to place learning theory in historical perspective (Chapter 3), and to present essential features of the major theories of learning with implications for educational practices (Chapters 4 through 16). The authors retained the best features of earlier editions while making revisions that reflect current research and scholarship, including coverage of active learning and the testing effect, information for problem solving in ravens, data illustrating the neurobiological basis of the cognitive map and spatial learning, new research on brain plasticity and its role in learning as well as the impact of poverty on brain ... Unknown localization key: "more"

Objev podobné jako An Introduction to Theories of Learning - Julio J. Ramirez, Matthew H. Olson

Foundations of Data Science with Python - John M. Shea

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a ... Unknown localization key: "more"

Objev podobné jako Foundations of Data Science with Python - John M. Shea

Foundations of Information Security - Jason Andress

Foundations of Information Security provides readers with fundamental knowledge of information security in both theoretical and practical aspects. Each chapter explores one main security concept, lists scenarios in which the concept is applicable, and discusses the implementation of that concept in detail, often by going over rival models or strategies. Readers will come away with a sense of what types of assets need protecting, what kinds of risks exist, and what kinds of defensive measures can be taken.

Objev podobné jako Foundations of Information Security - Jason Andress

Deep Learning for Cognitive Computing Systems

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.

Objev podobné jako Deep Learning for Cognitive Computing Systems

Mathematical Foundations Of Information Sciences - Esfandiar Haghverdi, Liugen Zhu

This is a concise book that introduces students to the basics of logical thinking and important mathematical structures that are critical for a solid understanding of logical formalisms themselves as well as for building the necessary background to tackle other fields that are based on these logical principles. Despite its compact and small size, it includes many solved problems and quite a few end-of-section exercises that will help readers consolidate their understanding of the material.This textbook is essential reading for anyone interested in the logical foundations of Informatics, Computer Science, Data Science, Artificial Intelligence, and other related areas. Written with undergraduate students in these disciplines in mind, this book can very well serve the needs of interested and curious readers who wish to get a grasp of the logical principles upon which these fields are built. This book does not require readers to possess math skills beyond those learned in high school.

Objev podobné jako Mathematical Foundations Of Information Sciences - Esfandiar Haghverdi, Liugen Zhu

The Foundations of Teaching English as a Foreign Language - Paul Lennon

An introductory textbook that assumes no prior knowledge of linguistics or second language acquisition, this book presents a comprehensive overview of the theoretical foundations, methods and practices of Teaching English as a Foreign Language (TEFL) for pre-service teachers. Lennon covers the theoretical bases for TEFL and addresses second language-acquisition research, past and present EFL teaching methodology, as well as psychological and social approaches to individual language-learner variation. Further chapters provide extensive yet accessible coverage on essential foundational topics, including chapters on pronunciation, grammar, vocabulary, literature and testing. Offering a sociocultural approach in which the teacher is seen as a facilitator and supporter of students’ self-directed learning, this text provides the prospective teacher with the knowledge and skills to be an effective educator in the EFL classroom.The targeted EFL focus makes this book ideal for pre-service teachers and for teacher training programmes around the world. Each chapter includes a Food for Thought section with questions for reflection and a Further Reading list.

Objev podobné jako The Foundations of Teaching English as a Foreign Language - Paul Lennon

Foundations of Periodontics for the Dental Hygienist with Navigate Advantage Access - Daniel E. Shin, Jill S. Gehrig

With a comprehensive and student-friendly format, Foundations of Periodontics for the Dental Hygienist, Sixth Edition equips dental hygiene students with modern, evidence-based coverage of periodontal anatomy, the periodontal disease process, and classification of periodontal disease. Using an easy-to-follow, detailed outline format, leading experts in the field provide readers with an accessible account of the complex subject of periodontics. Rich with engaging features and student resources, the Sixth Edition has been revised and updated throughout to reflect the hygienist's increasingly important role in periodontal therapy, while detailing how students can confidently apply what they have learned to clinical patient care.

Objev podobné jako Foundations of Periodontics for the Dental Hygienist with Navigate Advantage Access - Daniel E. Shin, Jill S. Gehrig