Deep Learning with Python

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Two touching, ghostly tales by Harriet Goodwin and Leon Rosselson. In the first, Joe, struggling to come to terms with his mother's death, finds himself drawn into a spooky legend that lies deep benea

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

本書通過96個案例，全面講解了深度學習神經網路原理和TensorFlow使用方法。全書共分為3篇，第1篇深度學習與TensorFlow基礎，包括快速瞭解人工智慧與TensorFlow、搭建開發環境、TensorFlow基本開發步驟、TensorFlow程式設計基礎、識別圖中模糊的手寫數位等內容；第2篇深度學習基礎――神經網路，介紹了神經網路的基礎模型，包括單個神經元、多層神經網路、卷積神經網路、迴

《深度學習原理與PyTorch實戰》按照從理論到實踐，從實踐到創造的順序講解深度學習領域的知識與技術，代碼翔實，公式簡單易懂。 《深度學習原理與PyTorch實戰》第1章介紹深度學習的概念和目前的形勢，第2章介紹Python編程語言基礎，第3章使用Python語言計算極限、導數、級數等數學問題，第4章講解深度學習的基本原理與PyTorch框架的基本使用，第5章和第6章詳細講述經典網絡結構CNN和

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications. Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems. The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization. Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.

Shift classroom structures to enhance student success. By becoming learning partners with their students, teachers can help them develop enthusiasm for learning and employ deep learning goals. Discove

Fiction. A.W. DeAnnuntis writes with verve, deep learning, and comedic panache, creating improbable worlds that manage, somehow, to make sense.

Idiot's Guides: Beginning Programming takes the fear out of learning programming by teaching readers the basics with Python, an open-source (free) environment which is considered one of the easiest la

This book summarizes the latest developments of bio-inspired computation in image processing, with a focus on nature-inspired algorithms linked with deep learning, such as ant colony optimization, par

With new deep-sea friends to meet, colours to name, things to spot and lots to count, this peek-through book is perfect to share with little ones.Toddlers are learning new things all the time, and the

This incisive history upends the complacency that confines anti-Judaism to the ideological extremes in the Western tradition. With deep learning and elegance, David Nirenberg shows how foundational an

Combine hard work and deep fun in classrooms with digital game–based learning. Students of the always-on generation gain information through different tools and learn differently than generations befo

"This is a wonderful book with deep insight into the relationship between teachers' action and result of student learning. It discusses from different angles impact of action research on student lear

"This is a wonderful book with deep insight into the relationship between teachers' action and result of student learning. It discusses from different angles impact of action research on student lear

With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the applicatio

In this important work of deep learning and insight, David Brundage gives us the first full-scale history of Irish nationalists in the United States. Beginning with the brief exile of Theobald Wolfe T

Whether it's a stunning starfish or an awesome narwhal, you'll love learning how to draw these awesome ocean animals. Take a dive into the deep and learn how to draw undersea creatures with these easy

Deep in the forests, a cave troll named Bog has spent his young life hunting with his father, Jeddal, learning what it means to be a troll, and avoiding humans whenever possible. Until someone called

This book is a comprehensive and thorough introduction to children’s and young adult literature in English language education. Reading is promoted as central to language education in order to experience perspectives from around the world, and the book demonstrates the many opportunities for teaching with compelling story, encouraging an active and engaged community of second language readers through challenging picturebooks, motivating graphic novels, dynamic plays, enchanting verse novels and compelling young adult fiction. Using many examples of literary texts that are well suited to the primary or secondary classroom, the book focuses on the advantages of deep reading and the vital importance of in-depth learning. In-depth learning is an approach that involves the students as motivated participants, working collaboratively and with empathy while preparing for and confronting the challenges of the 21st century. Illustrating the approach with a Deep Reading Framework based in researc

This book is a comprehensive and thorough introduction to children’s and young adult literature in English language education. Reading is promoted as central to language education in order to experience perspectives from around the world, and the book demonstrates the many opportunities for teaching with compelling story, encouraging an active and engaged community of second language readers through challenging picturebooks, motivating graphic novels, dynamic plays, enchanting verse novels and compelling young adult fiction. Using many examples of literary texts that are well suited to the primary or secondary classroom, the book focuses on the advantages of deep reading and the vital importance of in-depth learning. In-depth learning is an approach that involves the students as motivated participants, working collaboratively and with empathy while preparing for and confronting the challenges of the 21st century. Illustrating the approach with a Deep Reading Framework based in researc

Children will have fun learning opposites with Blippi in this imaginative, illustrated 8 x 8 paperback with giant foldout flaps that reveal silly surprises! From high up in space to deep down in the ocean, Blippi and his dog visit many places as they introduce opposites in Blippi: Let's Look High and Low! Kids can join their adventures and delight in discovering opposites such as high/low, full/empty, hot/cold, and much more. Fold out the flaps for silly surprises that help make the learning even more easy and fun!

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examplesA new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a

Big History seeks to retell the human story in light of scientific advances by such methods as radiocarbon dating and genetic analysis. This book provides a deep, causal view of the forces that have shaped the universe, the earth, and humanity. Starting with the Big Bang and the formation of the earth, it traces the evolutionary history of the world, focusing on humanity's origins. It also explores the many natural forces shaping humanity, especially the evolution of the brain and behaviour. Moving through time, the causes of such important transformations as agriculture, complex societies, the industrial revolution, the enlightenment, and modernity are placed in the context of underlying changes in demography, learning, and social organization. Humans are biological creatures, operating with instincts evolved millions of years ago, but in the context of a rapidly changing world, and as we try to adapt to new circumstances, we must regularly reckon with our deep past.

Big History seeks to retell the human story in light of scientific advances by such methods as radiocarbon dating and genetic analysis. This book provides a deep, causal view of the forces that have shaped the universe, the earth, and humanity. Starting with the Big Bang and the formation of the earth, it traces the evolutionary history of the world, focusing on humanity's origins. It also explores the many natural forces shaping humanity, especially the evolution of the brain and behaviour. Moving through time, the causes of such important transformations as agriculture, complex societies, the industrial revolution, the enlightenment, and modernity are placed in the context of underlying changes in demography, learning, and social organization. Humans are biological creatures, operating with instincts evolved millions of years ago, but in the context of a rapidly changing world, and as we try to adapt to new circumstances, we must regularly reckon with our deep past.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

From dawn to dusk, take your young one on a delightful journey through a spring day deep in the countryside, spotting elegant swans and tiny wrens in this classic counting book, newly reissued for its 15th anniversary. The day begins with a solitary cockerel's crow and the sunlight falling on two lovebirds in a cage and three china ducks on a wall. Swans, swallows, peacocks, geese and starlings — each lovingly portrayed in award-winning author-illustrator Alice Melvin’s signature style — are among the many familiar birds that populate the pages.Intricately worked illustrations combine with a charming text, making this an ideal book to read aloud with children learning to count.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

Five busy llamas are learning to calm down. Soon they're taking long, deep breaths, stretching and relaxing. Aaaaah - that's better! Can you be calm too? Count down these lovely, tactile llamas as they learn to slow things down, and pick up some tips along the way! With tactile llamas peeping through the pages, this fun rhyming countdown book is perfect for helping children find their inner calm AND learn their first numbers.Coming soon in the 5 Ways series: You Can, Toucan!

This book is an advanced introduction to semantics that presents this crucial component of human language through the lens of the 'Meaning-Text' theory - an approach that treats linguistic knowledge as a huge inventory of correspondences between thought and speech. Formally, semantics is viewed as an organized set of rules that connect a representation of meaning (Semantic Representation) to a representation of the sentence (Deep-Syntactic Representation). The approach is particularly interesting for computer assisted language learning, natural language processing and computational lexicography, as our linguistic rules easily lend themselves to formalization and computer applications. The model combines abstract theoretical constructions with numerous linguistic descriptions, as well as multiple practice exercises that provide a solid hands-on approach to learning how to describe natural language semantics.

This book is an advanced introduction to semantics that presents this crucial component of human language through the lens of the 'Meaning-Text' theory - an approach that treats linguistic knowledge as a huge inventory of correspondences between thought and speech. Formally, semantics is viewed as an organized set of rules that connect a representation of meaning (Semantic Representation) to a representation of the sentence (Deep-Syntactic Representation). The approach is particularly interesting for computer assisted language learning, natural language processing and computational lexicography, as our linguistic rules easily lend themselves to formalization and computer applications. The model combines abstract theoretical constructions with numerous linguistic descriptions, as well as multiple practice exercises that provide a solid hands-on approach to learning how to describe natural language semantics.

The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is shaping the future of technology and opening a world of unprecedented possibilities. Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share with readers their ideas about how to implement technical advances, application areas for intelligent systems, and development of new services and smart devices connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power are opening the way to new domains, services, and business models beyond the traditional mobile Internet. These new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. In Artificial Intelligence of Things readers learn about the challenges and requiremen

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv