Product details:
ISBN13: | 9781718502109 |
ISBN10: | 1718502109 |
Binding: | Paperback |
No. of pages: | 272 pages |
Size: | 235x178 mm |
Language: | English |
779 |
Category:
The Art Of Machine Learning
A Hands-On Guide to Machine Learning with R
Publisher: No Starch Press
Date of Publication: 9 January 2024
Normal price:
Publisher's listprice:
GBP 47.99
GBP 47.99
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20 166 (19 205 HUF + 5% VAT )
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Availability:
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Long description:
Machine learning without advanced math! This book presents a serious, practical look at machine learning, preparing you for valuable insights on your own data. The Art of Machine Learning is packed with real dataset examples and sophisticated advice on how to make full use of powerful machine learning methods. Readers will need only an intuitive grasp of charts, graphs, and the slope of a line, as well as familiarity with the R programming language. You'll become skilled in a range of machine learning methods, starting with the simple k-Nearest Neighbours method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks. Final chapters introduce text and image classification, as well as time series. You'll learn not only how to use machine learning methods, but also why these methods work, providing the strong foundational background you'll need in practice. Additional features: How to avoid common problems, su