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Machine learning with Python for everyone. 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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Addison-Wesley Professional,
[2022]
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| Edición: | Second edition. |
| Colección: | LiveLessons (Indianapolis, Ind.)
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| 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. |
| Tiempo de Juego: | 05:55:00 |
| ISBN: | 9780137932962 0137932960 |