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, s
General
Imprint: |
No Starch Press,Us
|
Country of origin: |
United States |
Release date: |
December 2023 |
Authors: |
Norman Matloff
|
Dimensions: |
235 x 178mm (L x W) |
Format: |
Paperback
|
Pages: |
272 |
ISBN-13: |
978-1-71850-210-9 |
Categories: |
Books
|
LSN: |
1-71850-210-9 |
Barcode: |
9781718502109 |
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