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Book Categories |
| Ch. 1 | Introduction | 1 |
| Ch. 2 | Classifiers based on Bayes decision theory | 13 |
| Ch. 3 | Linear classifiers | 69 |
| Ch. 4 | Nonlinear classifiers | 121 |
| Ch. 5 | Feature selection | 213 |
| Ch. 6 | Feature generation I : linear transforms | 263 |
| Ch. 7 | Feature generation II | 327 |
| Ch. 8 | Template matching | 397 |
| Ch. 9 | Context-dependent classification | 427 |
| Ch. 10 | System evaluation | 471 |
| Ch. 11 | Clustering : basic concepts | 483 |
| Ch. 12 | Clustering algorithms I : sequential algorithms | 517 |
| Ch. 13 | Clustering algorithms II : hierarchical algorithms | 541 |
| Ch. 14 | Clustering algorithms III : schemes based on function optimization | 589 |
| Ch. 15 | Clustering algorithms IV | 653 |
| Ch. 16 | Cluster validity | 733 |
| App. A | Hints from probability and statistics | 785 |
| App. B | Linear algebra basics | 797 |
| App. C | Cost function optimization | 801 |
| App. D | Basic definitions from linear systems theory | 819 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
John Wilson
reviewed Pattern Recognition on September 05, 2017
Pattern Recognition
I have not read other ML-related books, but I found this one very practical for basics of understanding of ML, Neural Networks, and Pattern Recognitions.
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Add Pattern Recognition, This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of , Pattern Recognition to the inventory that you are selling on WonderClubX
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Add Pattern Recognition, This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of , Pattern Recognition to your collection on WonderClub |
