Two hot topics team up in The Baseball Economist, and the result is a refreshing, clear- eyed survey of a playing field that has changed radically in recent years. Utilizing the latest economic methods and statistical analysis, writer, economics professor, and popular blogger J. C. Bradbury dissects burning baseball topics with his original Sabernomic perspective, such as: • Did steroids have nothing to do with the recent home run records? Incredibly, Bradbury's research, reviewed by Stanford economists, reveals steroids had little statistical significance. • Is the big-city versus small-city competition really lopsided? Bradbury shows why the Marlins and Indians are likely to dominate big-city franchises in the coming years. • Which players are ridiculously overvalued? Bradbury lists all players by team with their revenue value to the team listed in dollars—including a dishonor role of those players with negative values. • Is major league baseball a monopoly that can't govern itself? Bradbury sets out what rules the owners really need to play by, and what the players' union should be doing. • Does it help to lobby for balls and strikes? How would Babe Ruth perform in today's game? And who killed all the left-handed catchers, anyway? The Baseball Economist knows. Providing far more than a mere collection of numbers, Bradbury shines the light of his economic thinking on baseball, exposing the power of tradeoffs, competition, and incentives. Statistics alone aren't enough anymore. Fans, fantasy buffs, and players, as well as coaches at all levels who want to grasp what is really happening on the field today and in the coming years, will use and enjoy Bradbury's brilliant new understanding of the national pastime.

    Like its predecessors, the seventh edition includes the absolute minimum of mathematical/statistical notation necessary to teach the material. Concepts are fully explained in simple, easy-to-understand language as they are presented, making the book an excellent source from which to learn and teach. After each discussion, readers are guided through real-world examples to show how book principles work in professional practice. Includes easy-to-understand explanations of difficult statistical topics, such as sampling distributions, relationship between confidence level and confidence interval, interpreting r-square. A complete package of teaching/learning aids is provided in every chapter, including chapter review exercises, chapter concepts tests,"Statistics at Work" conceptual cases, "Computer Database Exercises," "From the Textbook to the Real-World Examples." This ISBN is in two volumes Part A and Part B.

    Non- mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms. Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance-all of which are problems that occur frequently in practice. The text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code f

    You will learn:- How to get your website on the first page of Google- How to get your website showing up multiple times on the first page (one of my websites shows up 6 in the first 7 results!!)- The 3 'Dirty Secrets' that expensive SEO (Search Engine Optimisation) Experts don't want you to know- What you can do for the price of 2 ½ cups of coffee that could have your website ranking top in as little as a day (I have done exactly this and I’ll show you how)- The small things you can do to make a BIG difference- How to analyse your online competition and find their weaknesses- How to pull off the famous ‘Google Leapfrog’- What the recent Google changes mean for people using pre-April 2012 strategies – and it’s not good news!- How to make people click on your website even if it shows up below your competitors!- How to avoid the deadly mistakes that can lead to Google removing your site from the listings- How to survive and thrive post-PenguinWhat most people don't understand is that once you know what to do, it's actually extremely straightforward to rank highly in Google. But there's a lot of misinformation and misunderstanding out there.Tim Kitchen is a Search Engine ranking expert and online business owner currently personally in charge of SEO for over 50 businesses as well as his own businesses in some incredibly competitive markets. He also regularly teaches SEO to more than 2,000 small business owners through his books, courses and videos.In this updated version of the book he shares everything he has learnt from the past 7 years of getting websites to the top of Google.

    Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.

    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.

    Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work.The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation.By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling.Web ResourceThe book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

    At heart I’m an engineer. I want to encourage people to fix things, not to raise false hopes.' Mteto Nyati knew years ago as a schoolboy in Mthatha, working behind the counter at his mother’s trading store, that he wanted to fix and build things. After completing his studies in Mechanical Engineering at Natal University, he turned down a Rhodes scholarship and headed for Johannesburg to take up a position at Afrox. He was the only black engineer and the sole advice he received from his superiors was ‘don’t mess up’. He didn’t. Today Nyati is one of South Africa’s top CEOs, having steered Microsoft South Africa and MTN South Africa out of troubled times. He is currently guiding the transition of Altron from a family business, started at the height of apartheid, into a high-performing international IT company with a social conscience.

    For some, blogging is a pastime, a hobby, something to fulfil a creative need. But some take blogging one step further. Many individuals, with no special training, are using their blog/s as a part-time or even a full-time job. You may already have a blog that could do with a few more visitors. Or maybe you’re thinking of setting up a blog but are not sure where to start. The question most people ask me is ‘How do I get visitors to my blog?’ It’s like setting up a shop on the High Street and facing the challenge of getting people in the door. The good news is – I have answers that will see your visitor count lift substantially. All you need is a computer, an internet connection and a brain (your own preferably). Here’s what you don’t need: money. This book answers your blogging questions in a practical and straightforward way. How My Blog Got 1 Million Visits In 7 Months has been designed to show you how to drive people to your blog – and how to keep them coming back, time after time. It’s designed for bloggers and for those who have websites that could do with more traffic. I’m a multi-award winning blogger and publisher and have been for over eight years. When I first started blogging, I got very excited to see that one person kept visiting my site. That was until I realised that the analytics was, in fact, counting me as a visitor. I’ve learned a lot since. My latest blog broke through the 1,000,000 visit mark after just 7 months. As a result, my blog is now a profitable business. I haven’t spent a penny on advertising and I spend about 30 minutes a day blogging at most. I’ve picked up a large-scale book deal as a direct result of my blog. In this book, I’ll show you the basics of setting up your blog; how to write content that people will just want to click on and share with their friends; how to create viral posts that will see your visitor statistics balloon; how to write content for your website that will sell your services or products; how to optimise your posts for search engines and how to make money from your blog. My promise to you is this - if you use the tips and tricks that I am about to show you, your site will get more traffic and you can start making money from it. These are proven techniques that you can start implementing on your blog straight away. Run the kind of blog that other bloggers envy. Be the kind of blogger that people marvel at. It’ll make you feel pretty good, I guarantee it. Find out how right now. *** “Patric Morgan's How My Blog Got 1 Million Visitors in 7 Months makes me sick! I've got 15,000+ people on my combined social media and I've never gotten even close to a million visits on my site. Screw you, Patric! However – I have read through his book and have found some cool tricks to steal and apply. Shh...don't tell him.” Vicki Abelson, Author of ‘Don't Jump’, published October '15 from Carl Reiner's Random Content. “What an absolutely incredible 'How to Guide'. This book will give you the tools you need to increase your web traffic and create a viral sensation from your blog or website. Follow the common sense approach within these pages and maybe you'll be writing your own success story very soon. A must read for any avid blogger trying to step up into the big leagues. Buy it now!” Nigel Shinner, Author of the critically acclaimed novel ‘From Within’ “It’s good to read something that actually delivers on the title of the book.

    and without chasing after clients!In The Rookie Copywriter’s Survival Guide, master copywriter and serial entrepreneur Doberman Dan, shows how anybody with just mediocre... or even NO copywriting skills... can make a LOT of money in a very short period of time.This isn’t the typical “pay your dues and work for peanuts” advice often given to rookie copywriters or people who are thinking of getting into the business of copywriting. It’s a unique way you can get paid... and paid very well... while you learn the craft of direct response copywriting.Dan reveals the exact plan he used to break free from a low paying dead-end job and went on to make MILLIONS while becoming one of the most in-demand copywriters in the country. Dan has used his copywriting skills to “bootstrap” numerous businesses over the past 20 years... with nothing but a yellow notepad, pen and the gray matter between his ears. Time and time again... in a plethora of markets and niches.You’ll discover the highly profitable secrets from a battle-hardened grizzled veteran entrepreneur, marketer and copywriter that can only be gained from decades of hard-won “in the trenches” experience.Who is Doberman Dan?After twelve years as a full-time inner city police officer and 9 years of part-time consecutive entrepreneurial failures, Dan finally discovered the secrets of the most successful copywriters and direct marketers in the world. After his 9 years of “trial by fire” business failures, he finally “hit a home run” in the mail order business. He went on to apply his successful marketing and copywriting experience to online marketing... for his own businesses and also as a consultant to some of the most successful businesses in the country.

    Years hunched over books and articles, writing essays late into the night on the science and art of your chosen profession. Through hard work and determination, alongside lots of experience, you’ve now become pretty good at it. So good in fact, that you have been asked to stop doing it all the time. You’ve been asked to manage a team.Now, you’ve got to assess people, develop them, write their appraisals and help them to help you, and the business you work for, deliver results.This is the book that will get you there fast.Authored by Sue Willcock, who with 25 years of experience in professional services, wrote this book with the busy professional in mind – easy to read and packed full of tips you can use straight away.Sue originally qualified as a Chartered Surveyor before moving into business management roles, including a period as a Partner at a Top 5 Construction Consultancy. For the last 10 years, Sue has worked as a people development consultant focusing on professional services, working with individuals, teams and organisations.

    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.

    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

    The company was forced to write-down $900 million in inventory and Surface’s future was in jeopardy.Beneath A Surface tells the inside story of how Microsoft turned its hardware dreams into a reality with new details about the challenges Panos and his team had to overcome as well as the internal politics that nearly killed the brand.For fans of Microsoft and those who are interested in the business of building brands, Beneath A Surface is a must read that tells the inside story of how Microsoft turned a failure into a fortune.

    But on the back of the pandemic, entrepreneur and Business Chicks founder Emma Isaacs believes the hustle is now dead. Moreover, traditional ways of working - long commutes, unproductive meetings and outdated systems of bureaucracy - actually don't work at all.Emma believes we don't have to work harder; we just need to work better. In fact, we can slash our hours, take shortcuts and still get more done - without feeling depleted. By becoming more intentional and reimagining the way we work, we can rewrite the old work rules and reinvigorate our lives.The New Hustle condenses Emma's wisdom into 77 anti-rules for maximum dip-in-and-out efficiency. Drawing inspiration from her team, the member of Business Chicks and the many entrepreneurs and leaders who have graced the Business Chicks stage - from Elizabeth Gilbert to Simon Sinek - she guides us towards embracing radical flexibility, making quick decisions and working smarter, from the emails we craft to the talent we recruit . . . and say no to the things that don't matter, so we can say yes to the things that do.Written with humour, insight and a serving of tough love, The New Hustle is your go-to for more productive, creative and meaningful work by one of Australia's most unconventional and effective entrepreneurs: a bestselling author, mum of six - and a woman determined to start an anti-hustle revolution.Praise for The New Hustle'For anyone who's committed to becoming their best self at work and in life.' - Marie Forleo'Refreshingly original. Makes so much bloody sense!' - Lisa WilkinsonPraise for Emma Isaccs'Emma has an inexhaustible joie de vivre, and she delivers an intelligent guide for a new way of working.' - Diane von Furstenberg'Emma Isaacs is a delight. She is kind, and she is smart, and she is grounded, and she is brave and she is funny.' - Elizabeth Gilbert