Numerous examples are provided to reinforce the concepts and relevant case studies illustrate the concepts and mechanisms described.

    Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

    Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram. Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble. In this book you'll learn: Setting Up Your Environment Let’s Get Programming Variables and Programs in Files Loops, Loops and More Loops Functions Dictionaries, Lists, and Tuples The “for” Loop Classes Modules File Input/Output Error Handling and much more! Now it's time for you to start your journey into Python programming! Click on the Buy Now button above and get started today!

    a quick, easy reference to using your Kindle Paperwhite — to the max! Amazon’s Paperwhite is the handiest, best value e-reader, and is your portal to an infinite universe of education and entertainment — and this handy book helps you get the maximum bang for your Kindle bucks. You’ll see how to quickly set up your Paperwhite, navigate the touch-screen and buy, borrow, and browse the world’s largest library of digital books. This reference guide from Amazon guru Steve Weber demystifies the Paperwhite and explains in plain English how to master the Kindle basics, and covers much more, including secret tips, tricks and shortcuts you won’t find elsewhere. Each section includes clearly written step-by-step instructions, illustrated with screenshots and menus just like you’ll see on your own Kindle’s screen. You’ll see how to: > Change your Paperwhite’s setting just the way you want. > Charge your Kindle’s battery properly and prolong its life. > Enjoy an infinite supply of the best books. > Use personal and office documents, including PDFs. Chuck your laptop, and do all your reading on the Kindle! > The easy way to harvest your own content and get it onto your Paperwhite, including gems you didn’t buy at Amazon. > How to download, organize and read your favorite books, magazines and newspapers on the Kindle Fire. > How to get current and archived editions of the world’s most popular newspapers, magazines and websites streamed to your Kindle—updated constantly, with no fees whatsoever! > Use Amazon’s free “Cloud” service for unlimited storage of your digital content. > Find the best free content in the world, downloadable to your Kindle. (You might never have to pay for books, movies or music again—ever!) About the author: Steve Weber has been writing about Amazon for nearly a decade. He is the founding publisher of KindleBuffet.com, a daily website featuring outstanding Kindle books offered free that day.

    They love reading about their tests and tribulations and they love to ride them - a cricket lover can never bat at Lord's, or a football supporter score at Wembley, but any rider can take on the challenge of an iconic mountain.There have been fine books about the big climbs before but never from the voice of an elite GC winner, taking you inside what these climbs really feel like, where the attacks come, where the pain kicks in.From best-known big-hitters, via pro-peloton favourites, to the secret climbs Geraint has come to love, and featuring Australia, Belgium, France, the Netherlands, Mallorca and Wales, this is the cyclist's secret manual.

    They are typically used to categorize something based on other data that you have. The purpose of this book is to help you understand how Random Forests work, as well as the different options that you have when using them to analyze a problem. Additionally, since Decision Trees are a fundamental part of Random Forests, this book explains how they work. This book is focused on understanding Random Forests at the conceptual level. Knowing how they work, why they work the way that they do, and what options are available to improve results. This book covers how Random Forests work in an intuitive way, and also explains the equations behind many of the functions, but it only has a small amount of actual code (in python). This book is focused on giving examples and providing analogies for the most fundamental aspects of how random forests and decision trees work. The reason is that those are easy to understand and they stick with you. There are also some really interesting aspects of random forests, such as information gain, feature importances, or out of bag error, that simply cannot be well covered without diving into the equations of how they work. For those the focus is providing the information in a straight forward and easy to understand way.

    The changing nature of consumer expectations means that marketers must learn how to build communities in addition to brand loyalty. With its interactive design and in-depth, real-world examples and cases, the South Asian edition of Principles of Marketing helps students learn how to create customer value, target the correct market, and build customer relationships.

    This guide, which can be used with any text or can stand alone, contains at the beginning of each chapter a list of key definitions, a summary of major concepts, step by step solutions to dozens of problems, and additional practice problems.

    If we get it right it will make humans almost godlike. If we get it wrong... well, extinction is not the worst possible outcome.“Surviving AI” is a concise, easy-to-read guide to what's coming, taking you through technological unemployment (the economic singularity) and the possible creation of a superintelligence (the technological singularity).Here's what some of the leading thinkers in the field have to say about it:A sober and easy-to-read review of the risks and opportunities that humanity will face from AI. Jaan Tallinn – co-founder of Skype Understanding AI – its promise and its dangers – is emerging as one of the great challenges of coming decades and this is an invaluable guide to anyone who’s interested, confused, excited or scared. David Shukman – BBC Science Editor We have recently seen a surge in the volume of scholarly analysis of this topic; Chace impressively augments that with this high-quality, more general-audience discussion. Aubrey de Grey – CSO of SENS Research Foundation; former AI researcher It's rare to see a book about the potential End of the World that is fun to read without descending into sensationalism or crass oversimplification. Ben Goertzel – chairman of Novamente LLC Calum Chace is a prescient messenger of the risks and rewards of artificial intelligence. In “Surviving AI” he has identified the most essential issues and developed them with insight and wit – so that the very framing of the questions aids our search for answers. Chace’s sensible balance between AI’s promise and peril makes “Surviving AI” an excellent primer for anyone interested in what’s happening, how we got here, and where we are headed. Kenneth Cukier – co-author of “Big Data” If you’re not thinking about AI, you’re not thinking.  “Surviving AI” combines an essential grounding in the state of the art with a survey of scenarios that will be discussed with equal vigor at cocktail parties and academic colloquia. Chris Meyer – author of “Blur”, “It’s Alive”, and “Standing on the Sun” The appearance of Calum Chace's book is of some considerable personal satisfaction to me, because it signifies the fact that the level of social awareness of the rise of massively intelligent machines has finally reached the mainstream. If you want to survive the next few decades, you cannot afford NOT to read Chace's book. Prof. Dr. Hugo de Garis – former director of the Artificial Brain Lab, Xiamen University, China “Surviving AI” is an exceptionally clear, well-researched and balanced introduction to a complex and controversial topic, and is a compelling read to boot. Seán Ó hÉigeartaigh – executive director of Cambridge Centre for the Study of Existential Risk In “Surviving AI”, Calum Chace provides a marvellously accessible guide to the swirls of controversy that surround discussion of what is likely to be the single most important event in human history - the emergence of artificial super

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    

    The book aims to provide a comprehensive coverage of the concepts of Data Structures.The book starts with a thorough overview of the concepts of C programming including Arrays, Pointers, Strings, and Functions. It then connects these concepts and applies them to the study of Data Structures by discussing key concepts like Linked Lists, Stacks and Queues, Trees and Graphs. Detailed description of various functions in Data Structures like Sorting - both Internal and External. Hashing and Search Trees is provided. The book also provides a chapter on the attributes and organization of files.Written in a simple style, the book provides numerous examples, programmes and psuedocodes to illustrate the theoretical concepts. Several end chapter exercises including review questions, multiple choice questions is provided to help students practise the concepts.

    As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine scientific breakthroughs that have made AI systems possible in the past decade that the founders of the field would have hailed as miraculous. Driverless cars and automated translation tools are just two examples of AI technologies that have become a practical, everyday reality in the past few years, and which will have a huge impact on our world.While the dream of conscious machines remains, Professor Wooldridge believes, a distant prospect, the floodgates for AI have opened. Wooldridge's A Brief History of Artificial Intelligence is an exciting romp through the history of this groundbreaking field--a one-stop-shop for AI's past, present, and world-changing future.

    Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

    Through a series of easy-to-follow steps and powerful strategies, Blanchard and Bowles show how anyone can create lasting wealth. By focusing on concepts like commitment, intensity, purpose, and even fun, the authors have crafted a totally new--and irresistible--paradigm for unlimited success.Written in the parable style of their previous books, Raving Fans and Gung Ho!., which were Business Week, New York Times, and Wall Street Journal business bestsellers, Big Bucks! introduces Len, who doesn't just want more money--he wants to be a millionaire. Under the direction and guidance of a group of mentors, Len must overcome three challenges on his way to attaining more wealth than he ever dreamed possible. Len learns that these three tests can be undertaken by any individual or organization in the pusuit of big bucks. And he also sees that while making big money, he can accomplish even more valuable achievements by being generous with his time, talents, and prosperity.Packed with practical advice, Big Bucks! is a must-read for any individual or business professional seeking wealth. It's destined to become one of the major money books in the twenty-first century.