Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

    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.

    The technology is powerful but it is still a tool—one used by people to apply human ingenuity, imagination, and problem-solving skills to see trends, patterns, anomalies, and relationships in what were once inscrutable or unmanageable issues. In their years spent working with hundreds of companies, governments, and non-profit organizations, Josh Sullivan and Angela Zutavern have consulted with a wide range of leaders developing new capabilities that lead to new business models, the creation of breakthrough products and services, and potential solutions to vexing global problems. Their stories include Ford developing not just smarter cars but also smarter roads and cities; an oceanographer obtaining a holistic map of the oceans, with ramifications for both the fishing industry but for humanity at large; and health care entrepreneurs developing new products that significantly reduce heart attack fatalities.These are but a few examples of leaders tapping the power of the digital world and creatively collaborating with computers. New capabilities are developed that then give birth to new business models as leaders envision and shape the future. Businesses are reaching goals that until recently seemed difficult, if not impossible, to attain. The winnings will go to organizations that take steps to deliver "impossible strategies," and The Mathematical Corporation provides leaders with the new way to think and work in this era of data science and drive the revolution.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    It is that simple. For over 10 years, Henry Evans has worked with hundreds of organizations around the world, teaching and building accountability. This book offers that same guidance to you, your colleagues and your team to reach new levels of excellence and success. In Winning with Accountability, Henry offers a step-by-step guide to help any organization improve performance by creating a culture of accountability. The strategies in this book are simple, easy to implement...and the results are immediate! It should be required reading for every member of every team. Read, enjoy, and win with accountability!

    By pulling together concrete examples of how A/B testing has made an impact, they are inspiring a new generation of companies to make thoughtful, data-driven decisions. Their new book is smart, valuable, and proves just how indispensable A/B testing is today."--MARISSA MAYER, CEO of Yahoo!"Finally, a book on A/B testing and digital optimization that I will eagerly hand out to my clients! It's approachable, not overly technical, and is actually full of real-world examples of testing in action that provide the inspiration for testing that is so badly needed in most companies."-- CALEB WHITMORE, founder and CEO, Analytics Pros; coauthor of Performance Marketing with Google Analytics"A practical and readable guide to get the most out of your online marketing tests. Get it before your competitors do!"-- Tim Ash, CEO, SiteTuners; bestselling author of Landing Page Optimization; and chair of Conversion Conference"Here's the secret to magnificent marketing success: 1. Create a hypothesis. 2. Test it. 3. Be less wrong! In our immensely complex business world, if your organization is not structured to be less wrong every day, your failure is guaranteed. Ready to be less wrong but don't know how? Let Dan and Pete teach you!"-- Avinash Kaushik, author of Web Analytics 2.0; Digital Marketing Evangelist, Google"Savvy marketers have long known that A/B testing is a great way to optimize marketing and generate more revenue. But for too long, it has been considered too hard and complicated for most marketers to use. A/B Testing: The Most Powerful Way to Turn Clicks into Customers shows marketers at all levels of experience why testing is important--and more importantly, it gives them step-by-step guidance on how to get started and get the best results. I'm giving copies of this to my entire team, and I recommend you do as well!"-- Jon Miller, cofounder and VP of Marketing, Marketo"A/B testing that is fast and simple is set to disrupt web measurement and analytics on a massive scale. Every company should be using A/B testing to continuously improve, and anyone who wants to lead the charge on this revolution within their organization will benefit from reading this book."-- Amy Chang, former Global Head of Product, Google Analytics"Much like the prescriptive writing guide The Elements of Style by Strunk and White, A/B Testing is simple in its construction and design, but deceptively powerful and comprehensive in its message and breadth. This book is sure to be the foundational and prescriptive guide to optimization testing."-- Khai Tran, Senior Manager, Product--Online Video Products & Platforms, Disney/ABC Television Group

    This hands-on guide shows you how to get the most out of this free and powerful tool -- whether you're new to Google Analytics or have been using it for years.Google Analytics shows you how to track different market segments and analyze conversion rates, and reveals advanced techniques such as marketing-campaign tracking, a valuable feature that most people overlook. And this practical book not only provides complete code samples for web developers, it also explains the concepts behind the code to marketers, managers, and others on your team.Discover exactly how the Google Analytics system worksLearn how to configure the system to measure data most relevant to your business goalsTrack online marketing activities, including cost-per-click ads, email, and internal campaignsTrack events -- rather than page views -- on sites with features such as maps, embedded video, and widgetsConfigure Google Analytics to track enterprise data, including multiple domainsUse advanced techniques such as custom variables and CRM integration

    It shows you how you can unleash astonishing potential by building the trust, delivering the change, and inspiring the focus that underpins sustainable high performance.From extensive interviews with executives from all over the world, as well as from surveys with more than a thousand executives, the book reveals the nine characteristics that Secure Base Leaders display on a daily basis. The research shows that a primary difference between a successful leader and a failed leader is the presence or absence of secure bases in his or her life.Care to Dare will take you on a journey where you will discover your own secure bases, past and present, and determine how you can be a secure base for other people in your life at work and at home.

    In fact, many experts believe that you build a business from the customer up. With coauthors Jim Ballard and Fred Finch, Blanchard explains why the customer is the right starting place from which to build a successful business. By drawing on examples from the world's largest restaurant company, Yum! -- owner of KFC, Taco Bell, Pizza Hut, Long John Silver's, and A&W Restaurants -- the authors explain how any company, large or small, can develop a unified, people-first, customer-oriented culture. Packed with practical insights, Customer Mania! emphasizes four critical steps:• Set Your Sights on the Right Target. The bottom line grows from taking care of customers and creating a motivating environment for your people. • Treat Customers the Right Way. Determine the kind of experience you want your customers to have as they interact with every part of the company. • Treat Employees the Right Way. Use strategies ranging from smart hiring to training and development to managing performance and creating a recognition culture. • Build the Right Kind of Leadership. You can't do it all yourself, so let your people put their own brains to work and then support them all the way.By relying on these concepts, businesses everywhere can cultivate passionate and engaged team members who contribute to the company's overall success. From CEO to middle manager to the person facing the consumer, Customer Mania! is a vital tool for enhancing their experience -- and their customer's.

    A third revised edition of this study of the art and theories behind negotiation, which explores the psychology of bargaining, and the interpersonal conflicts and resolutions which occur during the process.

    The true disruption will be to your business model. Future customers won’t want to pay you high prices out of big “CapEx” budgets anymore. They will expect lower “cloud” prices paid from “OpEx” budgets only when and if they successfully consume the business value of your products.How your company reacts to this risk shift could either accelerate the commoditization of your products or lead you to a new stage of profitable growth. For the first time, the tools are on the table to truly eliminate barriers of cost and complexity created by the last generation of tech. Consumption Economics is the owner’s manual for tech company executives who want to drive their company successfully into the next one.

    This highly anticipated fourth edition of the most ...Download Link : readmeaway.com/download?i=0128042915            0128042915 Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF by Ian H. WittenRead Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems) PDF from Morgan Kaufmann,Ian H. WittenDownload Ian H. Witten's PDF E-book Data Mining: Practical Machine Learning Tools and Techniques (Morgan Kaufmann Series in Data Management Systems)

    With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.

    Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.

    And the best part is that you can do it using the data you already have.Today, everything we do creates data, and the volumes are enormous.  Virtually every time someone views something online, enters search on Google, or even surfs the web on a smart phone, another chunk gets added – in real time - to the multibillion gigabyte (and growing) trove of data that can help us better understand and predict consumer behavior.  We no longer need expertise in math or statistics or even expensive modeling software to get the most out of all these revealing consumer insights.  A revolution in data analysis is underway, and the methods and tools for aggregating and analyzing this “data deluge” are suddenly far simpler, less expensive, and more precise than they were.  In this book – the first of its kind – Dimitri Maex, Managing Director of global advertising agency OgilvyOne New York and the engine behind the agency’s global analytics practice, reveals how to turn your data - those sexy little numbers that can mean more profit for your business – into actionable strategies that drive real growth and revenues.  And he can show you how to do it at virtually no cost. In his clear, easy-to-understand style, he explains how to:  • Identify which customers are most valuable, which have the most potential to be valuable, which are most likely to buy more in the future, and which are not worth targeting.    • Allocate your marketing assets in the best possible way and pinpoint the outlays that will generate the highest possible returns.    • Figure out precisely which communication or media brought a customer to your company’s web site and what that customer will do once she arrives.    • Predict which products or services customers will want in the future.    • Learn which customers are preparing to defect to the competition and how to stop them.    • Determine which customers buy your product because it is perfect for their needs, which ones purchase because they liked your ad, which ones chose you because of an appealing price, and which ones came to you through word-of-mouth…or some combination of all these  factors.    • Drill your geographic targeting down to the regional, zip code, and even neighborhood level.    • Optimize your web presence to get the maximum return from search. A must read for marketers striving to get the biggest ROI on their advertising dollars, small business owners eager to grow faster, researchers needing a consumer in mind for whom to create new products or services, those in finance responsible for growing the bottom line, and even creatives looking for feedback to help them improve their output, Sexy Little Numbers is THE essential tool not just for math nerds and number crunchers, but for anyone wishing to use the data at their fingertips to grow their business and increase their profits dramatically.http://sellorelse.ogilvy.com/sexy-lit...