The Art of Machine Learning: A Hands-On Guide to Machine Learning with R by Norm

Description: The Art of Machine Learning by Norman Matloff Estimated delivery 3-12 business days Format Paperback Condition Brand New Description "Teaches a range of machine learning methods, from simple to complex. Includes dozens of illustrative examples using the R programming language and real datasets. Covers not only how to use machine learning methods but also why these methods work and advice on how to avoid common pitfalls"-- Publisher Description Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math.As you work through the book, youll learn how to implement a range of powerful ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving on to gradient boosting, support vector machines (SVMs), neural networks, and more.With the aid of real datasets, youll delve into regression models through the use of a bike-sharing dataset, explore decision trees by leveraging New York City taxi data, and dissect parametric methods with baseball player stats. Youll also find expert tips for avoiding common problems, like handling "dirty" or unbalanced data, and how to troubleshoot pitfalls.Youll also explore-How to deal with large datasets and techniques for dimension reductionDetails on how the Bias-Variance Trade-off plays out in specific ML methodsModels based on linear relationships, including ridge and LASSO regressionReal-world image and text classification and how to handle time series dataMachine learning is an art that requires careful tuning and tweaking. With The Art of Machine Learning as your guide, youll master the underlying principles of ML that will empower you to effectively use these models, rather than simply provide a few stock actions with limited practical use.Requirements- A basic understanding of graphs and charts and familiarity with the R programming languageLearn to expertly apply a range of machine learning methods to real data with this practical guide.Packed with real datasets and practical examples, The Art of Machine Learning will help you develop an intuitive understanding of how and why ML methods work, without the need for advanced math.As you work through the book, youll learn how to implement a range of powerful ML techniques, starting with the k-Nearest Neighbors (k-NN) method and random forests, and moving on to gradient boosting, support vector machines (SVMs), neural networks, and more.With the aid of real datasets, youll delve into regression models through the use of a bike-sharing dataset, explore decision trees by leveraging New York City taxi data, and dissect parametric methods with baseball player stats. Youll also find expert tips for avoiding common problems, like handling "dirty" or unbalanced data, and how to troubleshoot pitfalls.Youll also explore-How to deal with large datasets and techniques for dimension reductionDetails on how the Bias-Variance Trade-off plays out in specific ML methodsModels based on linear relationships, including ridge and LASSO regressionReal-world image and text classification and how to handle time series dataMachine learning is an art that requires careful tuning and tweaking. With The Art of Machine Learning as your guide, youll master the underlying principles of ML that will empower you to effectively use these models, rather than simply provide a few stock actions with limited practical use.Requirements- A basic understanding of graphs and charts and familiarity with the R programming language Author Biography Norman Matloff is an award-winning professor at the University of California, Davis. Matloff has a PhD in mathematics from UCLA and is the author of The Art of Debugging with GDB, DDD, and Eclipse and The Art of R Programming (both from No Starch Press). Details ISBN 1718502109 ISBN-13 9781718502109 Title The Art of Machine Learning Author Norman Matloff Format Paperback Year 2024 Pages 272 Publisher No Starch Press,US GE_Item_ID:159241054; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. 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Price: 38.81 USD

Location: Fairfield, Ohio

End Time: 2024-11-15T01:56:36.000Z

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