With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    

    

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    This updated edition includes all the changes in Python 3, itself a significant shift from earlier versions of Python.The book begins with basic but useful programs that teach the core features of syntax, control flow, and data structures. It then moves to larger applications involving code management, object-oriented programming, web development, and converting code from earlier versions of Python.True to his audience of experienced developers, the author covers common programming language features concisely, while giving more detail to those features unique to Python.Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

    From afar, it looks like they did it with ease...but the truth is much more complicated."--InnerFidelityFor everyone who didn't win the venture capital lottery,or everyone who wasn't born with a trust fund,for everyone who doesn't have rich relatives...This is the story of how real start-ups work. This is how to turn a dream into a multimillion dollar business—without selling out, without spending a mint on marketing, and without losing your sense of humor.Meet Schiit Audio, a company born in a garage that went on to change the face of high-end personal audio—challenging the idea that everything must be made in China, rejecting old ideas about advertising and social awareness, and forging our own unforgettable brand. This is our (improbable) story.Here’s to your own stories—and your success!

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

     Discover the different paths that ordinary people took to become self-made millionaires. These are not trust-fund babies. They are just regular folks like you and me. The only difference is that every day they took another step down the path of wealth. Daily action. And the right kind of action. That's all it takes to become a self-made millionaire. In this book, you will learn about: The secrets that self-made millionaires used to grow their wealth The small things you can do that make a big difference The best morning routines and daily habits for success The books that had the biggest impact on these millionaires How to make money by investing in what you know How to create passive income and escape the trap of being an employee How to compound wealth like a savvy investor The one thing you should never do with your hard-earned cash (don't start investing until you read this) And much, much more Whether you are a college graduate, or high school dropout. . . Whether you are a small business owner, or an employee. . . Even if you know nothing at all about business or investing. . . This book will teach you how to build a better life for you and your family. Imagine how your life would change if you knew that you were on the proven path to wealth. Amazon best-selling author and retired hedge fund manager, Matthew Kratter has interviewed the most interesting self-made millionaires that you will ever meet. Are you ready to start down the path of becoming a self-made millionaire? Then scroll to the top of this page and click BUY NOW.

     The sad fact is, there are very few who are using LinkedIn to build meaningful connections that translate into measurable sales results. Forget the old sales and marketing gimmicks. In this eye-opening book, Melonie Dodaro explains how to master social selling on LinkedIn to generate B2B leads and clients. LinkedIn Unlocked is a social selling roadmap that will help you generate a consistent flow of quality leads. You’ll learn: • How to turn your LinkedIn profile into a client attracting magnet • Social selling best practices and LinkedIn etiquette • How to send LinkedIn messages that command a response • The RIGHT and WRONG way to use content marketing to build Authority, Credibility and Trust • How to stay ‘top of mind’ in your network and more importantly with your potential prospects • How to convert cold LinkedIn prospects into high-value clients • How to turn LinkedIn into a lead generation machine for your business From the author of the #1 Amazon bestseller The LinkedIn Code, LinkedIn Unlocked is the new, updated, and definitive book on attracting more leads, clients, and sales from LinkedIn. FROM THE AUTHOR The purpose of my book is simple. I want to help you successfully generate leads, clients, and sales using LinkedIn. To do this, I will share my knowledge and experience from years of experience operating a leading digital sales and marketing company. LinkedIn Unlocked is for you if: • You have a LinkedIn profile but aren’t sure how to use it as a lead generation tool. • You’ve noticed that few people look at your profile or connect with you. • You don’t know how to move from a LinkedIn connection to a client. • Or you want more leads, clients, and sales. Here are some professions that will immediately benefit from the information I share in LinkedIn Unlocked: • Sales Professionals and Sales Leaders • B2B Business Owners and Entrepreneurs • Professional Service Providers • Coaches, Consultants, Trainers • Speakers and Authors • Subject Matter Experts and Emerging Thought Leaders • Marketing Professionals • Business Advisors • Anyone who wants to generate leads and clients using LinkedIn! Bonus Package  LinkedIn Unlocked comes with a bonus package ($221 value), including a free companion workbook (includes all of the exercises, worksheets and templates), video training and a masterclass to help you maximize your results with social selling on LinkedIn. • 60-Minute LinkedIn Masterclass where I will help you generate more leads, clients and sales • Comprehensive SEO Training where you’ll learn how to create content your ideal clients love and that gets ranked high in Google search results • FREE Companion Workbook that includes all of the exercises, worksheets and templates from LinkedIn Unlocked Claim your book bonuses now: LinkedInUnlockedBook.com

    "Machine learning," the process of automating tasks once considered the domain of highly-trained analysts and mathematicians, is the key to efficiently extracting useful information from this sea of raw data. Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. In it, the author uses the flexible Python programming language to show how to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

    Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years - the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it.Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook - the primary news source for an increasing number of Americans - prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like "The Washington Post" devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos.In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs - and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend on the Internet and shows how we can - and must - change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.

    Inside, you'll find hundreds of jokes that are guaranteed to stir up a room full of smiles, including knock-knocks, witty puns, and one-liners. Complete with hilarious quotes from celebrities like Jon Stewart, Lewis Black, and Jerry Seinfeld, everyone will revel in each gut-busting moment.So whether you're looking to add a few jokes to your repertoire, impress your buds, or improve your banter, this sidesplitting book arms you with the perfect joke for any occasion!

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Whether it's improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. This is especially true in the online world, where predicting customer behavior is virtually impossible.Managers can, however, discover whether a new product, service, or business model will fail or succeed--by subjecting it to rigorous experimentation. Think about it. A pharmaceutical company would never introduce a new drug without first conducting a round of experiments based on established scientific protocols. Yet that's essentially what many companies do when they roll out new products and services.As Harvard Business School professor Stefan Thomke shows in this eye-opening and essential book, the "best guess" approach to innovation is changing fast. There are now leading companies that conduct more than ten thousand online controlled experiments annually, engaging millions of users. These organizations have discovered that an "experiment with everything" approach has a big payoff, giving them a considerable competitive advantage.How can you do this at your company? Leaders and managers need to create an "experimentation organization" that masters the science of testing and puts the discipline of experimentation at the center of the innovation process. It used to take companies years to build the infrastructure and develop the expertise to run hundreds of experiments each day. But Thomke shows how, with advances in technology, these capabilities are at the fingertips of almost any business professional. By combining the power of software and the rigor of controlled experiments, today's managers can make better decisions, create better customer experiences, and generate huge financial returns.Filled with engaging and instructive stories of leading experimentation organizations, Experimentation Works will be your guidebook to a truly new way of thinking and innovating.

    Proceed step-by-step through five progressively more complex web applications: from a "Hello World" app all the way to a robust Newspaper app with a custom user model, complete user authentication flow, foreign key relationships, and more. Learn current best practices around class-based views, templates, urls, user authentication, testing, and deployment. The material is up-to-date with the latest versions of both Django (2.0) and Python (3.6). TABLE OF CONTENTS: * Introduction * Chapter 1: Initial Setup * Chapter 2: Hello World app * Chapter 3: Pages app * Chapter 4: Message Board app * Chapter 5: Blog app * Chapter 6: Forms * Chapter 7: User Accounts * Chapter 8: Custom User Model * Chapter 9: User Authentication * Chapter 10: Bootstrap * Chapter 11: Password Change and Reset * Chapter 12: Email * Chapter 13: Newspaper app * Chapter 14: Permissions and Authorizations * Chapter 15: Comments * Conclusion