(And more importantly, when it will not!)Which business structures could reduce your Federal income tax or Self-Employment Tax.

    The book assumes no prior knowledge of computer programming and progressively covers all the essential steps needed to become confident and proficient in using R within a day. Topics include how to input, manipulate, format, iterate (loop), query, perform basic statistics on, and plot data, via a step-by-step technique and demonstrations using in-built datasets which the reader is encouraged to replicate on their computer. Each chapter also includes exercises (with solutions) to practice key skills and empower the reader to build on the essentials gained during this introductory course.

    And everything is based on the “science of investing” – evidenced with studies from peer-reviewed journals.Overall, this adds up to a complete retirement guide, packed with the latest and best knowledge. Don’t enter your retirement without it.

    Baseball Prospectus 2015 brings together an elite group of analysts to provide the definitive look at the upcoming season in critical essays and commentary on the thirty teams, their managers, and more than sixty players and prospects from each team.Baseball Prospectus 2015contains critical essays on each of the thirty teams and player comments for some sixty players for each of those teams; projects each player's stats for the coming season using the groundbreaking PECOTA projection system, which has been called "perhaps the game's most accurate projection model" (Sports Illustrated). Now in its twentieth edition, this New York Times bestselling insider's guide from Baseball Prospectus, America's leading provider of statistical analysis for baseball, remains hands down the most authoritative and entertaining book of its kind.

    

    The detailed, state-of-the-art information in this edition reflects current procedures and promotes the delivery of comprehensive patient care. This text provides nurses with the tools needed to deliver safe, cost-effective, high-quality patient care.More than 400 contemporary and traditional specialty surgical interventions, in addition to numerous minimally invasive surgical procedures, are explained.Approximately 1,000 full-color illustrations and photos build familiarity with surgical anatomy, procedures, methods and equipment.Places a strong emphasis on patient education and discharge planning, as well as patient safety.Best Practice boxes apply evidence-based practice to perioperative nursing.Sample Plans of Care link interventions to clearly identified outcomes.Research Highlight boxes translate research into practice for patient care.Addresses Emergency preparedness and bioterrorism considerations.Ambulatory, pediatric, geriatric, trauma surgeries, as well as complementary and alternative therapies, are given special attention.History boxes summarize significant historical events related to surgery and perioperative nursing.The latest invasive and non-invasive technological advances related to surgical procedures, including areas such as interventional radiology, are featured.Patient and Family Education boxes offer guidelines for pre- and post-procedural care, side effects and complications, discharge/follow-up care, home care, psychosocial care and referrals.Surgical Pharmacology tables summarize the drugs most commonly used for specific surgical procedures, including generic and trade names, purpose/description and pharmacokinetics.Patient Safety boxes highlight recent JCAHO initiatives designed to prioritize patient safety.Recent OSHA guidelines regarding workplace safety are emphasized.

    Companies that think winning their business is a simple matter of creating a Twitter account and applying outdated notions of "cool" to their advertising are due for a rude awakening. "Marketing to Millennials "is both an enlightening look at this generation of consumers and a practical plan for earning their trust and loyalty. Based on original market research, the book reveals the eight attitudes shared by most Millennials, as well as the new rules for engaging them successfully. Millennials: - Value social networking and aren't shy about sharing opinions - Refuse to remain passive consumers--they expect to participate in product development and marketing - Demand authenticity and transparency - Are highly influential--swaying parents "and" peers - Are not all alike--understanding key segments is invaluable Featuring expert interviews and profiles of brands doing Millennial marketing right, this eye-opening book is the key to persuading the customers who will determine the bottom line for decades to come.

    (2nd. Ed Jan 2014) In as little as 15 minutes you will understand what the source of the problem is, and devise quick action-steps to take in order to begin and improve the situation (Free automated toll inside). The book will teach you how to use a very simple, yet effective tool, the "Double-Lens System". Using it you can quickly get to the bottom of situations and analyzing the roots of a problem. Then you will learn to use several simple questions that will help develop a quick fix, and will get things going in the right direction. While not intended as a substitute to a full coaching process, this method is effective in helping clients to zero-in on their most pressing issues and move from pain to action. The same method is also an effective lead-conversion tool that can be used in coaching and consulting sales-situations. Included in the book you will find a link for a free download of an automated version of the double-lenses system. You can use this as it is, or customize it to your own needs. The book was written with the same principles of "quick solutions" described in it. It is a short, easy to read manuscript that will take you less than an hour to read and master. Need to know more? Read below the reviews of people which already read it. Click the "Buy Now" button and get to solving problems – quickly!

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    I hope it helps you too!

    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

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.

    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

    Yet although the heart of Six Sigma is statistics, most books on Six Sigma give a general overview, with little detail on actually Using the Six Sigma tools. Books that cover Six Sigma statistics typically are 500+ pages and cost near USD100. Basic Statistics for Six Sigma gives the information needed to apply the statistical tools of Six Sigma to real-world problems in a simplified, USD24.95 paperback format, for Greenbelts and Six Sigma Project Team Leaders. A typical company's Greenbelt training in Six Sigma includes 7 books, 4 software packages, and 3 weeks of class work. It is very extensive in statistics. Although this kind of course is excellent, not all companies or individuals want to commit to that level of instruction. Statistics for Six Sigma--Made Easy! describes only the tools used by most successful Six Sigma practitioners. The only software package needed is Excel, and the 14 formulas and 5 tables included in the book enable you to use all the basic Six Sigma statistical tools. Using these tools will enable a person t