.

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

     This book contains an introduction to quantum mechanics, with complete instructions and videos showing you how to program a real quantum computer, provided by IBM.

    Demonstrates the programming language's strength as a Web development tool, covering syntax, data types, built-ins, the Python standard module library, and real world examples

    UNDERSTANDING NUTRITION is at the forefront of the latest advances in human nutrition-helping you understand what the scientific facts tell us about human nutrition and health. Ellie Whitney and Sharon Rady Rolfes begin with the basics-an introduction to the nutrients; and then guide you through every important topic covered in today's nutrition courses. Linked chapter by chapter to the CengageNOW, a new online resource that provides you with PERSONALIZED STUDY tools, Thomson Audio Study Products, animations that clarify complex processes, and much more, this Eleventh Edition of UNDERSTANDING NUTRITION features everything you need to keep on top of this quickly evolving field.

    People of all ages frequently ask, “How did you find that so quickly?” Well, this book will explain just that! The planets in our solar system, the International Space Station, sunspots, birds, nebula, airplanes, and comets are just some of the items that his book will help you find!If you have been having difficulties enjoying your small telescope, this book is for you. There is something interesting about pretty much everything in outer space and it is exciting how many pop-culture references are derived from things in the night sky! Viewing the stars referenced in Star Trek, or talking about a character in Harry Potter named after a constellation, is just another way to make stargazing that much more fun! I am very excited to share my knowledge of astronomy and I am sure you will enjoy this book for years to come. By working through the 50 items in this book you will achieve a well-rounded understanding of amateur astronomy.

    Following a simple step-by-step approach, Acrylic Painting For Dummies provides hands-on instruction and easy-to-follow exercises in acrylic painting techniques and styles, making the medium accessible to would-be artists at all levels. Featuring large-scale projects at the end of most chapters and ample additional opportunities for readers to paint along, this friendly guide will help anyone discover the artist within.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Now Aaron T. Beck and his distinguished colleagues present an extensively rewritten and updated second edition, incorporating over a decade's worth of significant theoretical, clinical, and empirical gains. In one volume, the authors offer both a comprehensive overview of scientific knowledge and a detailed guide to individualized intervention. Practitioners gain essential tools for effectively managing their most complex, challenging cases - and providing real help to patients who once might have been considered untreatable. Timely and authoritative, this indispensable volume belongs on the desks of clinical psychologists, psychiatrists, clinical social workers, counselors, and other mental health practitioners, as well as students and residents in these fields. It will serve as a core text in advanced undergraduate- and graduate-level courses and in psychiatric residency programs.

    In this Very Short Introduction, one of the world's leading authorities on the philosophy of information and on information ethics, Luciano Floridi, offers an illuminating exploration of information as it relates to both philosophy and science. He discusses the roots of the concept of information in mathematics and science, and considers the role of information in several fields, including biology. Floridi also discusses concepts such as "Infoglut" (too much information to process) and the emergence of an information society, and he addresses the nature of information as a communication process and its place as a physical phenomenon. Perhaps more important, he explores information's meaning and value, and ends by considering the broader social and ethical issues relating to information, including problems surrounding accessibility, privacy, ownership, copyright, and open source. This book helps us understand the true meaning of the concept and how it can be used to understand our world.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    

    Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

    It's for anyone who thinks big questions are worth talking about. To get us started, Douglas Groothuis unpacks seven pivotal sentences from the history of western philosophy--a few famous, all short, none trivial. Included are:• Socrates—The unexamined life is not worth living.• Augustine—You have made us for yourself, and our hearts are restless until they rest in you.• Descartes—I think, therefore I am.• Pascal—The heart has reasons, that reason knows nothing of.Protagoras, Aristotle and Kierkegaard round out this quick tour. Since every philosopher has a story, not just a series of ideas, Groothuis also offers a bit of each one's life to set the stage. The seven sterling sentences themselves, while they can't tell us all there is to know, offer bridges into other lands of thought which can spark new ideas and adventures. And who knows where they might lead?

    because the language seems like a good way to accomplish programming tasks that don't require the low-level bit handling power of C.-- Richard Bejtlich, TaoSecurityPython is a new and innovative scripting language. It is set to replace Perl as the programming language of choice for shell scripters, and for serious application developers who want a feature-rich, yet simple language to deploy their products.Dive Into Python is a hands-on guide to the Python language. Each chapter starts with a real, complete code sample, proceeds to pick it apart and explain the pieces, and then puts it all back together in a summary at the end.This is the perfect resource for you if you like to jump into languages fast and get going right away. If you're just starting to learn Python, first pick up a copy of Magnus Lie Hetland's Practical Python.