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The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
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- Learn 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, you’ll 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, you’ll 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. You’ll also find expert tips for avoiding common problems, like handling “dirty” or unbalanced data, and how to troubleshoot pitfalls.You’ll also explore:How to deal with large datasets and techniques for dimension reduction 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, you’ll 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
| Publisher | No Starch Press |
| Publication date | January 9, 2024 |
| Language | English |
| Print length | 272 pages |
| ISBN-10 | 1718502109 |
| ISBN-13 | 978-1718502109 |
| Item Weight | 13 ounces (368.55 grams) |
| Dimensions | 7 x 0.64 x 9.25 inches (17.8 x 1.6 x 23.5 cm) |
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AI & Machine Learning Editorial Review
The Art of Machine Learning: A Hands-On Guide to Machine Learning with R is set to be published by No Starch Press on January 9, 2024. This comprehensive guide spans 272 pages and is designed for those eager to delve into the world of machine learning utilizing the R programming language. Whether you are a beginner or looking to enhance your skills, this book is structured to provide a hands-on approach to understanding key concepts and techniques in machine learning. The book is also lightweight and portable, making it a practical choice for readers on the go.
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- Comprehensive guide for both beginners and advanced users
- Hands-on approach with practical examples
- Well-structured content for easy understanding
- Lightweight and portable for convenience
- Published by a reputable publisher, No Starch Press
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- No digital edition available at launch.
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