| 000 | 01603cam a2200277zu 4500 | ||
|---|---|---|---|
| 001 | 88949035 | ||
| 003 | FRCYB88949035 | ||
| 005 | 20250108002820.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250108s2020 fr | o|||||0|0|||eng d | ||
| 020 | _a9781683924937 | ||
| 035 | _aFRCYB88949035 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aCampesato, Oswald | |
| 245 | 0 | 1 |
_aPython 3 for Machine Learning _c['Campesato, Oswald'] |
| 264 | 1 |
_bMercury Learning and Information _c2020 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
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| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
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| 650 | 0 | _a | |
| 700 | 0 | _aCampesato, Oswald | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88949035 _qtext/html _a |
| 520 | _aThis book is designed to provide the reader with basic Python 3 programming concepts related to machine learning. The first four chapters provide a fast-paced introduction to Python 3, NumPy, and Pandas. The fifth chapter introduces the fundamental concepts of machine learning. The sixth chapter is devoted to machine learning classifiers, such as logistic regression, k-NN, decision trees, random forests, and SVMs. The final chapter includes material on NLP and RL. Keras-based code samples are included to supplement the theoretical discussion. The book also contains separate appendices for regular expressions, Keras, and TensorFlow 2.Features:Provides the reader with basic Python 3 programming concepts related to machine learningIncludes separate appendices for regular expressions, Keras, and TensorFlow 2 | ||
| 999 |
_c78063 _d78063 |
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