We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    Everything Is Miscellaneous: The Power of the New Digital Disorder

    Download issues at no extra cost from Archived Items. The Economist is the premier source for the analysis of world business and current affairs, providing authoritative insight and opinion on international news, world politics, business, finance, science and technology, as well as overviews of cultural trends and regular Special reports on industries and countries. Established in 1843 to campaign against the protectionist corn laws, The Economist remains, in the second half of its second century, true to the liberal principles of its founder. James Wilson, a hat maker from the small Scottish town of Hawick, believed in free trade, internationalism and minimum interference by government, especially in the affairs of the market. The Economist also takes a fiercely independent stance on social issues, from gay marriage to the legalisation of drugs, but its main service to its readers is as a global newspaper: To uncover new ideas from all around the world. The Kindle Edition of The Economist contains all of the articles and graphics found in the print edition, but will not include all photos. For your convenience, issues are auto-delivered wirelessly to your Kindle each Friday at the same time the print edition hits the newsstand.

    Then, and perhaps most importantly, the text determines exactly when and in which order to apply these seven techniques.

    The Fifth Edition features updated information throughout, including new theories and models such as the Healthy Action Process Approach (HAPA) and the Community Readiness Model (CRM), sections on grant writing and preparing a budget, real-life examples of marketing principles and processes, and a new classification system for evaluation approaches and designs. Health Education, Health Promotion, Health Educators, and Program Planning, Models for Program Planning in Health Promotion, Starting the Planning Process, Assessing Needs, Measurement, Measures, Measurement Instruments and Sampling, Mission Statement, Goals, and Objectives, Theories and Models Commonly Used for Health Promotion Interventions, Interventions, Community Organizing and Community Building, Identification and Allocation of Resources, Marketing: Making Sure Programs Respond to Wants and Needs of Consumers, Implementation: Strategies and Associated Concerns, Evaluation: An Overview, Evaluation Approaches and Designs, Data Analysis and Reporting. Intended for those interested in learning the basics of planning, implementing, and evaluating health promotion programs

    And it’s still short, profusely illustrated…and best of all–fun to read.If you’ve read it before, you’ll rediscover what made Don’t Make Me Think so essential to Web designers and developers around the world. If you’ve never read it, you’ll see why so many people have said it should be required reading for anyone working on Web sites.

    Each

    Written in a concise, bulleted outline format, this well-illustrated text offers 500 USMLE-style review questions, answers, and explanations and features comprehensive content and upgraded USMLE Step 1 information.

    This book tells it all – from the creation of Adam, to Black Abraham, Moses, Jacob, the invasion of the homelands of the Black Hebrew Israelites/Jews by the Assyrians, Neo-Babylonians, Persians, Greeks, Romans, Muslims and others; the brutalization of the Black Jews and their near-decimation, as well as the story of the Khazars, who are today considered to be the real Jews. Mention is also made of the historical Black Jesus. This book is illustrated with ancient images of Biblical characters.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    With this book you will learn how to tap into every Kindle Fire feature, including many of the hidden ones not discussed in other books. From setting up your Kindle Page, managing your music, watching movies, and downloading content - this book covers everything. The task based full-color format allows you to quickly and easily find the exact task you want to accomplish and walks you through it in a delightfully concise and visual manner. My Kindle Fire makes it easy for you to:• Master all the basics, fast: reading, playing, watching, browsing, and more• Tweak your Kindle Fire for quicker access and longer battery life• Sample best-seller book chapters for free• Mark up any eBook with highlights, notes, and bookmarks• Convert your personal documents for use on Kindle Fire• Discover Calibre, a powerful eBook management tool• Control even the largest music libraries• Get instant answers from Wikipedia, and from Kindle Fire’s built-in dictionary• Listen to personalized Internet radio stations created just for you• Use your Kindle Fire as a digital photo frame• Prevent unwanted subscription charges• Set up any email account to work on your Kindle Fire• Explore any web content with Amazon’s innovative Silk browser• Use Amazon Cloud to get your stuff anywhere—even if you left your Kindle at home• And much much more…Unlike many other guides which might only briefly mention or skip over some very import Kindle Fire features My Kindle Fire covers everything. Here are just a few of the things you'll find in My Kindle Fire that aren't covered in other guides: • Full coverage of Calibre, a free application for Mac or PC that helps manage your eBook library• A large number of walkthroughs for managing music playlists, including how to use cloud playlists. • How to reinstall multiple apps at once in case you reset your Kindle Fire. • Step-by-step walkthroughs on configuring all types of email accounts. • Coverage on handling attachments in your email application. • Importing contacts from your existing email application or cloud service and how you can export your contacts in order to back them up. • How to use Copy and Paste on the Kindle Fire. • How to use social networking integration with Facebook and others. • Walkthroughs on using the Gallery app, Pandora, Audible, and other popular apps. • Shows you how to access files on other computers in your house right from your Kindle Fire.

    It examines emerging trends and developments in society, technology, economy, and business, and makes educated speculations as to where they might take us.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Carter would participate in a number of expeditions against the Comanche and other tribes in the Texas-area. It was during one of these campaigns that he was brevetted first lieutenant and awarded the Medal of Honor for his "most distinguished gallantry" against the Comanche in Blanco Canyon on a tributary of the Brazos River on October 10, 1871. He became a successful author in his later years writing several books based on his military career, including On the Border with Mackenzie (1935), as well as a series of booklets detailing his years as an Indian fighter on the Texas frontier. Carter writes: "IT IS nearly fifty years since these tragedies occurred. There are few survivors. The writer is, perhaps, the only one. This is written in the vague hope that this chronicle of the events of that period may possibly prove of some lasting and, perhaps, historical value to posterity. "The country all about the scene of these tragical events—the Texas Panhandle—was then wild, unsettled, covered with sage brush, scrub oak and chaparral, and its only inhabitants were Indians, buffalo, lobo wolves, coyotes, jack-rabbits, prairie-dogs and rattlesnakes, with here and there a few scattered herds of antelope. The railroad, that great civilizing agency, the telegraph, the telephone, and the many other marvelous inventions of man, have wrought such a wonderful transformation in our great western country that the American Indian will, if he has not already, become a race of the past, and history alone will record the remarkable deeds and strange career of an almost extinct people. With these miraculous changes has come the total extermination of the buffalo—the Indians' migratory companion and source of living—and pretty much all of the wild game that in almost countless numbers freely roamed those vast prairies. Where now the railroads girdle that country the nomadic redman lived his free and careless life and the bison thrived and roamed undisturbed at that period— where are now the appliances of modern civilization, and prosperous communities, then nothing but desolation reigned for many miles around. "In the expansion and peopling of this vast country, our little Army was most closely identified. In fact, it was the pioneer of civilization. The life was full of danger, hardships, privations, and sacrifices, little known or appreciated by the present generation. "Where populous towns, ranches and well-tilled farms, grain fields, orchards, and oil "gushers" are now located, with railroads either running through or near them, we were making trails, upon which the main roads now run, in search of hostile savages, for the purpose of punishing them or compelling them to go into the Indian reservations, and to permit the settlers, then held back by the murderous acts of these redskins, to advance and spread the civilization of the white man throughout the western tiers of counties in that far-off western panhandle of Texas."