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Statistics Slam Dunk: Statistical analysis with R on real NBA data is an interesting and engaging how-to guide for statistical analysis using R. It is packed with practical statistical techniques, each demonstrated using real-world data taken from NBA games. In each chapter, you will discover a new (and sometimes surprising!) insight into basketball, with careful step-by-step instructions on how to generate those revelations. You will get practical experience cleaning, manipulating, exploring, testing, and otherwise analysing data with base R functions and useful R packages. R's visualisation capabilities shine through in the book's 300 visualizations, and almost 30 plots and charts including Pareto charts and Sankey diagrams. Much more than a beginner's guide, this book explores advanced analytics techniques and data wrangling packages. You will find yourself returning again and again to use this book as a handy reference! About the reader Requires a beginning knowledge of basic statistics concepts. No advanced knowledge of statistics, machine learning, R - or basketball - required.
Great search is all about delivering the right results. Today's search engines are expected to be smart and understand the nuances of natural language queries, as well as each user's preferences and context. AI-Powered Search is an authoritative guide to applying leading-edge data science techniques to search. It teaches you how to build search engines that automatically understand the intention of a query in order to deliver significantly better results. Author Trey Grainger is an expert on leading techniques for crowdsourced relevancy and semantic search and has helped develop numerous algorithms which have transformed search. Working through code in interactive notebooks, you will deploy intelligent search systems that deliver real-time personalisation and contextual understanding of each user, domain, and query through a self-learning search platform that can tune its own results automatically. About the reader For software developers or data scientists familiar with the basics of search engine development.
Key Features Highly relevant, concrete, hands-on guide Digs deep into search engine technology Contains essential tools, tips, and strategies for building engaging search engines AUDIENCE For readers who can code moderately complex tasks.
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