Machine learning in action:
Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classificatio...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Shelter Island, N.Y.
Manning Publications Co.
2012
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781617290183/?ar |
| Zusammenfassung: | Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About this Book 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. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos About the Author Peter Harrington is a professional developer and data scientist. He holds five US patents and his work has been published in numerous academic journals. |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781617290183 1617290181 9781638352457 1638352453 |
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| 520 | |a Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About this Book 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. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos About the Author Peter Harrington is a professional developer and data scientist. He holds five US patents and his work has been published in numerous academic journals. | ||
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| spelling | Harrington, Peter VerfasserIn aut Machine learning in action Peter Harrington Shelter Island, N.Y. Manning Publications Co. 2012 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index Machine Learning in Action is a unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About this Book 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. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos About the Author Peter Harrington is a professional developer and data scientist. He holds five US patents and his work has been published in numerous academic journals. English. Machine learning Machine learning Handbooks, manuals, etc Apprentissage automatique Apprentissage automatique ; Guides, manuels, etc Aprenentatge automàtic Handbooks and manuals 9781617290183 Erscheint auch als Druck-Ausgabe 9781617290183 |
| spellingShingle | Harrington, Peter Machine learning in action Machine learning Machine learning Handbooks, manuals, etc Apprentissage automatique Apprentissage automatique ; Guides, manuels, etc Aprenentatge automàtic Handbooks and manuals |
| title | Machine learning in action |
| title_auth | Machine learning in action |
| title_exact_search | Machine learning in action |
| title_full | Machine learning in action Peter Harrington |
| title_fullStr | Machine learning in action Peter Harrington |
| title_full_unstemmed | Machine learning in action Peter Harrington |
| title_short | Machine learning in action |
| title_sort | machine learning in action |
| topic | Machine learning Machine learning Handbooks, manuals, etc Apprentissage automatique Apprentissage automatique ; Guides, manuels, etc Aprenentatge automàtic Handbooks and manuals |
| topic_facet | Machine learning Machine learning Handbooks, manuals, etc Apprentissage automatique Apprentissage automatique ; Guides, manuels, etc Aprenentatge automàtic Handbooks and manuals |
| work_keys_str_mv | AT harringtonpeter machinelearninginaction |