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

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.

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.

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

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

"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

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

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.

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.

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

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 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

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

Denis Donoghue has been a key figure in Irish studies and an important public intellectual in Ireland, the UK and US throughout his career. These essays represent the best of his writing and operate in conversation with one another. He probes the questions of Irish national and cultural identity that underlie the finest achievements of Irish writing in all genres. Together, the essays form an unusually lively and far-reaching study of three crucial Irish writers – Swift, Yeats and Joyce – together with other voices including Mangan, Beckett, Trevor, McGahern and Doyle. Donoghue's forceful arguments, deep engagement with the critical tradition, buoyant prose and extensive learning are all exemplified in this collection. This book is essential reading for all those interested in Irish literature and culture and its far-reaching effects on the world.

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

This authoritative work provides an in-depth treatment of state space methods, with a range of applications in neural and clinical data. Advanced and state-of-the-art research topics are detailed, including topics in state space analyses, maximum likelihood methods, variational Bayes, sequential Monte Carlo, Markov chain Monte Carlo, nonparametric Bayesian, and deep learning methods. Details are provided on practical applications in neural and clinical data, whether this is characterising time series data from neural spike trains recorded from the rat hippocampus, the primate motor cortex, or the human EEG, MEG or fMRI, or physiological measurements of heartbeats or blood pressures. With real-world case studies of neuroscience experiments and clinical data sets, and written by expert authors from across the field, this is an ideal resource for anyone working in neuroscience and physiological data analysis.

This key new textbook provides a state-of-the-art view of the physics of cloud and precipitation formation, covering the most important topics in the field: the microphysics, thermodynamics and cloud-scale dynamics. Highlights include: the condensation process explained with new insights from chemical physics studies; the impact of the particle curvature (the Kelvin equation) and solute effect (the Köhler equation); homogeneous and heterogeneous nucleation from recent molecular dynamic simulations; and the hydrodynamics of falling hydrometeors and their impact on collision growth. 3D cloud-model simulations demonstrate the dynamics and microphysics of deep convective clouds and cirrus formation, and each chapter contains problems enabling students to review and implement their new learning. Packed with detailed mathematical derivations and cutting-edge stereographic illustrations, this is an ideal text for graduate and advanced undergraduate courses, and also serves as a reference for

A stunning visual reference book for little geologists who love to find fascinating stones around them. Identify colourful gemstones, sparkly crystals, the toughest rocks and ancient fossils. Packed with fun facts, information and extensive photos all about the rocks and minerals that make up the world around us.Interactive learning that engages young scholar minds. Learn about 64 different types of rocks and minerals, how to tell the difference between them, and where to find them. Have a dig into all the interesting geological materials from deep space to the deepest caves.You'll even discover glow in the dark minerals and living gems!Find out about the stuff our world is made of, and how rocks and minerals form over time. This captivating book introduces children to hands-on science with fun activities such as starting your own impressive rock collection and how to stay safe on your rock finding missions. Written for kids aged 6 to 9 with bite-sized information and explanations.The

Building on a deep theoretical foundation and drawing on numerous examples, we examine how policies spread across the American states. We argue that for good policies to spread while bad policies are pushed aside, states must learn from one another. The three ingredients for this positive outcome are observable experiments, time to learn, and favorable incentives and expertise among policymakers. Although these ingredients are sometimes plentiful, we also note causes for concern, such as when policies are complex or incompatible with current practices, when policymakers give in to underlying political biases, or when political institutions lack the capacity for cultivating expertise. Under such conditions, states may rely on competition, imitation, and coercion, rather than learning, which can allow bad policies, rather than good ones, to spread. We conclude with lessons for reformers and policymakers and an assessment of our overall argument based on state responses to the COVID-19 pa

A heartwarming, educational picture book that allows parents to tell their kids how much they love them while also teaching them interesting facts about the world.';I love you.'';I love you more.'Almost every parent and child play this game of who loves who the most. Wall decorations say: ';I Love You More' and even movies have characters who join in with this debate. This book will help children understand once and for all how much they are lovedfrom hereto the sun and beyond.How much you love someone isn't easy to quantify, but I Love You to the Sun and Beyondis here to tell your children just how much you love them through more than twenty wonderful and wacky analogies. From python hugs to Nikola Tesla to the Mariana Trench, your little reader will learn all about the world and the amazing things in it while also learning the most important thing of all: how much you care.

Event structures are central in Linguistics and Artificial Intelligence research: people can easily refer to changes in the world, identify their participants, distinguish relevant information, and have expectations of what can happen next. Part of this process is based on mechanisms similar to narratives, which are at the heart of information sharing. But it remains difficult to automatically detect events or automatically construct stories from such event representations. This book explores how to handle today's massive news streams and provides multidimensional, multimodal, and distributed approaches, like automated deep learning, to capture events and narrative structures involved in a 'story'. This overview of the current state-of-the-art on event extraction, temporal and casual relations, and storyline extraction aims to establish a new multidisciplinary research community with a common terminology and research agenda. Graduate students and researchers in natural language process

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems, and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters programs in finance.Wiley's Computational Finance books, written by some of the very people who wrote Danske Bank's award-winning systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that

In these six lectures given at the Norwegian Royal Academy of Science and Letters, Jan Qvigstad draws on his deep experience at Norges Bank to outline key principles on which to base central bank policy. The first two lectures (Keeping promises and Transparency) emphasize the importance of credibility and ensuring accountability. Lectures 3-6 can be viewed as applying these key principles to specific issues (Making good decisions; Managing wealth; Learning from history; and Institutions). The lectures do not break new ground - indeed, Qvigstad nicely illustrates how these principles have been articulated in literature, history and politics. Rather, the lectures emphasize the lessons to be drawn by applying these principles to central banking history with primary reference to the case of Norway, such as managing Norway's sovereign wealth fund and designing institutions that will produce good policy outcomes.

In many societies, histories of exclusion, racism and nationalist violence often create divisions so deep that finding a way to deal with the atrocities of the past seems nearly impossible. These societies face difficult practical questions about how to devise new state and civil society institutions that will respond to massive or systematic violations of human rights, recognize victims and prevent the recurrence of abuse. Identities in Transition: Challenges for Transitional Justice in Divided Societies brings together a rich group of international researchers and practitioners who, for the first time, examine transitional justice through an 'identity' lens. They tackle ways that transitional justice can act as a means of political learning across communities; foster citizenship, trust and recognition; and break down harmful myths and stereotypes, as steps toward meeting the difficult challenges for transitional justice in divided societies.

How can the world's religious traditions debate within the public sphere? In this book, Nicholas Adams shows the importance of Habermas' approaches to this question. The full range of Habermas' work is considered, with detailed commentary on the more difficult texts. Adams energetically rebuts some of Habermas' arguments, particularly those which postulate the irrationality or stability of religious thought. Members of different religious traditions need to understand their own ethical positions as part of a process of development involving ongoing disagreements, rather than a stable unchanging morality. Public debate additionally requires learning each other's patterns of disagreement. Adams argues that rather than suspending their deep reasoning to facilitate debate, as Habermas suggests, religious traditions must make their reasoning public, and that 'scriptural reasoning' is a possible model for this. Habermas overestimates the stability of religious traditions. This book offers a

The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. Tools such as random matrix theory and the study of large sample covariance matrices can efficiently process these big data sets and help make sense of modern, deep learning algorithms. Presenting an introductory calculus course for random matrices, the book focusses on modern concepts in matrix theory, generalising the standard concept of probabilistic independence to non-commuting random variables. Concretely worked out examples and applications to financial engineering and portfolio construction make this unique book an essential tool for physicists, engineers, data analysts, and economists.

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.

The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory is applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been substantially revised, with new material on Bayesian approaches to the mind and on deep learning. An extensive on-line set of resources is available to aid instructors and students al

The Cambridge Handbook of the Psychology of Prejudice: Concise Student Edition aims to answer the questions: why is prejudice so persistent? How does it affect people exposed to it? And what can we do about it? With cutting-edge research from top scholars in the field, the chapters present an overview of psychological models of prejudice and investigate key domains such as racism, sexism, and the criminal justice system. This student edition of the award-winning Handbook includes new pedagogical features such as learning objectives, core terms and definitions, summary points, discussion questions, recommended reading, and an instructor's test bank. It also features a new conclusion chapter that analyzes eight hard problems currently faced by researchers and activists, thus engaging students in deep, forward-thinking discussion. Developed specifically for use in Psychology of Prejudice courses at the undergraduate and graduate levels, the Concise Student Edition is an essential teaching

Brings the science of physical anthropology to bear on understanding how our evolutionary history has shaped a phenomenon everyone has experienced―childhood.The development of a fetus is an extraordinary biological process by itself, but the story of how we grow up began long before any of us were born. Paleoanthropological science has revealed that deep in our hominid lineage we began to diverge from other primates by giving birth to fatter, more helpless infants and developed one of humanity’s most striking adaptations―the evolution of childhood; a long period of dependence and social learning that makes us the animals we are today.Beginning with how the differences between humans and our primate cousins lead to difficult births, the book moves through the science of how our unlikely babies have spurred social and cultural adaptations, including the invention of ‘teenagers’ less than a century ago. We learn how anthropologists can interpret the physical evidence of the experience of

Why higher education in the United States has lost its way, and how universities and colleges can focus sharply on their core mission.For The Real World of College, Wendy Fischman and Howard Gardner analyzed in-depth interviews with more than 2,000 students, alumni, faculty, administrators, parents, trustees, and others, which were conducted at ten institutions ranging from highly selective liberal arts colleges to less selective state schools. What they found challenged characterizations in the media: students are not preoccupied by political correctness, free speech, or even the cost of college. They are most concerned about their GPA and their resumes; they see jobs and earning potential as more important than learning. Many say they face mental health challenges, fear that they don’t belong, and feel a deep sense of alienation. Given this daily reality for students, has higher education lost its way? Fischman and Gardner contend that US universities and colleges must focus sharply

Elinor and friends learn about structures and stability from giant sequoias!It's field trip day! Elinor, Olive and Ari are going to see some of the tallest trees in the world: giant sequoias. Though the friends expect them to be big, they're shocked by what they find in the forest. They can't even see the top of the largest sequoia! How tall is it? How does it grow so high and straight? And why is its trunk so wide? The friends look for clues to solve the sequoia's mysteries! Kids will be thinking big after learning about these giants. Who knew trees could teach so much about building block towers?Just how tall can a tree grow? And why don't the biggest ones topple over? Elinor and her friends figure it out!It's field trip day! Elinor, Olive and Ari are going with their class to see some of the tallest trees in the world: giant sequoias. The friends are pretty sure the sequoias will be bigger than the trees in their neighborhood. But they never expect what they find when they walk deep

兩隻小魚在深海發現一座神祕的「鯨骨鬼屋」！牠們鼓起勇氣往裡走，結果遇到怪怪的盲鰻、長得像怪獸的哥布林鯊、名字超嚇人的吸血鬼烏賊、會發光的燈籠魚，還有專門啃骨頭的小蠕蟲。原來這些生物都住在鯨魚掉到海底後形成的「鯨落」裡。這本好玩又長知識的圖像書，用提問和小知識陪孩子一起在深海探險！末頁另附深海資訊與QR碼，可觀看真實鯨落影片。Two small fish discover a haunted house deep below the surface of the ocean. Are there ghosts inside? Vampires? What even IS this spooky place?A playful and fun nonfiction graphic picture book for 3-7-year-olds that asks questions and has sidebar facts, so kids won’t even notice how much they’re learning!When a whale dies, its body sinks to the bottom of the ocean floor and decomposes there, providing sustenance to many creatures. When it’s picked clean, the bones create an eerie kind of structure―resembling a haunted house or whalebone mansion.Two small fish discover a whalebone mansion, enter at their own risk, and encounter a number of creepy creatures along the way. Told in a graphic-style format, with playful text that asks young readers questions and includes sidebars that provide additional facts,Welcome to Whalebone M

Learning that her husband has landed in grave danger while deep undercover on a secret assignment, Molly Murphy Sullivan embarks on a dangerous cross-country journey with her young son while contempla

The award-winning author of The Music of the Primes explores the future of creativity and how machine learning will disrupt, enrich, and transform our understanding of what it means to be human.Can a well-programmed machine do anything a human can—only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. Programs like Deep Dream produce d