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1-12 sur 12 résultats pour « jim albert »
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  • Visualizing Baseball

    par Jim Albert ...
    Collections series ASA-CRC Series on Statistical Reasoning in Science and Society
    Visualizing Baseball provides a visual exploration of the game of baseball. Graphical displays are used to show how measures of performance, at the team level and the individual level, have changed over the history of baseball. Graphs of career trajectories are helpful for understanding the rise and fall of individual performances of hitters and pitchers over time. One can measure the contribution ... En savoir plus

    $54.95 CAD

  • R by Example

    par Jim Albert, Maria Rizzo ...
    Collections series Mathematics and Statistics (R0)
    Now in its second edition, R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data.The purpose of this book is to illustrate a range of statistical and probability computations using R for people who are ... En savoir plus

    $128.99 CAD

  • Analyzing Baseball Data with R

    par Jim Albert, Benjamin S. Baumer, Max Marchi ...
    Collections series Chapman & Hall/CRC The R Series
    “Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. ... En savoir plus

    $93.99 CAD

  • Statistical Thinking in Sports

    Modifié par Jim Albert, Ruud H. Koning ...
    Since the first athletic events found a fan base, sports and statistics have always maintained a tight and at times mythical relationship. As a way to relay the telling of a game's drama and attest to the prodigious powers of the heroes involved, those reporting on the games tallied up the numbers that they believe best described the action and bes ... En savoir plus

    $130.53 CAD

  • Handbook of Statistical Methods and Analyses in Sports

    Modifié par Jim Albert, Mark E. Glickman, Tim B. Swartz, Ruud H. Koning ...
    Collections series Chapman & Hall/CRC Handbooks of Modern Statistical Methods
    This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to ... En savoir plus

    $130.99 CAD

  • Curve Ball

    Baseball, Statistics, and the Role of Chance in the Game

    par Jim Albert, Jay Bennett ...
    Collections series Mathematics and Statistics (R0)
    In its formative years, from the 1970s through the 1990s, sabermetrics was p- marily an amateur undertaking. Publications were aimed at a relatively small audience of baseball fans. To be sure, this ever-growing group of aficionados brought a lot of sophistication to baseball analysis, and were constantly looking for statistical insights beyond the listings of the top ten batters found in popular ... En savoir plus

    $64.99 CAD

  • Probability and Bayesian Modeling

    par Jim Albert, Jingchen Hu ...
    Collections series Chapman & Hall/CRC Texts in Statistical Science
    Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The ... En savoir plus

    $174.99 CAD

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    Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

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    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... En savoir plus

    $87.99 CAD ou Gratuit avec Kobo Plus

  • Mathletics

    How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition

    par Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis ...
    How to use math to improve performance and predict outcomes in professional sportsMathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and enjoyment of their favorite sports—and maybe even gain the outside edge to winning bets. This second ... En savoir plus

    $30.79 CAD

  • Basketball Data Science

    With Applications in R

    par Paola Zuccolotto, Marica Manisera ...
    Collections series Chapman & Hall/CRC Data Science Series
    Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies ... En savoir plus

    $107.99 CAD

  • Mastering Machine Learning with R

    Advanced prediction, algorithms, and learning methods with R 3.x

    par Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky ...
    Master machine learning techniques with R to deliver insights in complex projectsKey Features\[\*\] Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST\[\*\] Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning\[\*\] Implement advanced concepts in machine learning ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

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    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... En savoir plus

    $73.59 CAD ou Gratuit avec Kobo Plus