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Machine learning in action /
A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Ma...
| Clasificación: | Q325.5 H3.77 |
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| Autor principal: | |
| Formato: | Libro |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, New York :
Manning Publications Co.,
2012.
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| Temas: |
| Sumario: | A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. |
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| Descripción Física: | xxvi, 354 p. : il. ; 24 cm. |
| Bibliografía: | Incluye referencias bibliográficas e índice |
| ISBN: | 9781617290183 1617290181 |