Machine learning with Python for everyone Part 1, Learning foundations Part 1, Learning foundations.
Code-along sessions move you from introductory machine learning concepts to concrete code. Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding along in discussion to coding machine learning tasks. These videos skew away from heavy mathe...
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| Formato: | Video |
| Idioma: | Inglés |
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[Place of publication not identified] :
Addison-Wesley Professional
[2022]
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| Edición: | Second edition |
| Colección: | LiveLessons (Indianapolis, Ind.)
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676323106719 |
| Sumario: | Code-along sessions move you from introductory machine learning concepts to concrete code. Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond nodding along in discussion to coding machine learning tasks. These videos skew away from heavy mathematics and focus on showing you how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends. Our focus is on stories, graphics and code that build your understanding of machine learning; we minimize pure mathematics. You learn how to load and explore simple datasets; build, train, and perform basic learning evaluation for a few models; compare the resource usage of different models in code snippets and scripts; and briefly explore some of the software and mathematics behind these techniques. |
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| Descripción Física: | 1 online resource (1 video file (5 hr., 55 min.)) : sound, color |
| ISBN: | 9780137932962 |
