Deep Learning with Python

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

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.

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.

Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With one hundred worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean) and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, Power

Enchant your little one with 5 pop-up surprises of their favorite Disney Princesses! Whether they find Ariel searching for hidden treasures deep under the sea, Moana on the lookout for a new adventure, or Rapunzel swinging down from her tower to follow her dreams, little ones will encounter a magical surprise with the turn of every page. The lively, read-aloud rhymes encourage literacy and early learning, while the surprise pop-up scenes will delight curious toddlers. With the help of parents and caregivers, they'll have fun turning the sturdy board book pages, guessing what's hiding under each flap, and then lifting the flaps to reveal each Princess, and play peekaboo! Ideal for interactive preschool play, Disney Princess Pop-up Peekaboo! will appeal to both parents and children and is certain to keep little ones entertained time and time again.

Meet Isadora Moon's mermaid friend, Emerald! Emerald is learning how to be a mermaid princess, but there are just so many rules. She loves having fun with her friends and exploring her underwater world with her pet octopus, Inkibelle, she doesn't want to be stuck in the palace with everyone looking at her and checking that she's doing things the proper, royal way. The morning after a big storm, Emerald discovers a shimmery egg in Dad's back garden.A baby sea dragon hatches from the egg! It is sooo cute! When the cheeky little sea dragon hitches a lift with Emerald back to Mum's, everyone at the royal palace is enchanted. Emerald knows deep down that they need to find its real family and so Emerald, Delphina, and Mum set out on an exciting ocean adventure to do just that. Illustrated throughout in sea green and black, Emerald is perfect for readers who are looking for a first chapter book with a splash of wildness and wonder.

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.

9780744094664 Pop-Up Peekaboo! Disney PrincessEnchant your little one with 5 pop-up surprises of their favorite Disney Princesses!Whether they find Ariel searching for hidden treasures deep under the sea, Moana on the lookout for a new adventure, or Rapunzel swinging down from her tower to follow her dreams, little ones will encounter a magical surprise with the turn of every page.9780744094671 Pop-Up Peekaboo! Disney Winnie the PoohMeet the little bear who's always hungry for honey and find 5 pop-up surprises inside!Join Pooh as he searches The Hundred Acre Wood for his friends: Piglet, Eeyore, Tigger, and Roo, and share with your toddler a character that you loved too.The lively, read-aloud rhymes encourage literacy and early learning, while the surprise pop-up scenes will delight curious preschoolers. With the help of parents and caregivers, toddlers will have fun turning the sturdy board book pages, guessing what's hiding under each flap, and then lifting the flaps to rev

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

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

Discover the magic to be found in your very own backyard with the help of this fun and creative green witchcraft guidebook for kids! The Little Witchs Guide to Backyard Magicis a joyful guide that focuses on the basic principles of positive, nature-based ';green' witchcraft, which celebrates and fosters a deep respect for the natural world. Kids will discover the true wonder that the earth has to offer through the fun activities, simple spells, and cute crafts in this book, including: Easy divination, like tea leaf reading Crystal magic Weather magic Celebrating the seasons Ideas for magical gardening and working with plants Inviting and working respectfully with the friendlier fae Exploring the five elements Learning about the influence of the sun, moon, and stars And so much more! Through play and the exploration of the natural world, kids will experience the interconnectedness of all things and will learn that as much as magic can be found in the world around us, so too does it