Pro machine learning algorithms : a hands-on approach to implementing algorithms in Python and R /
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop t...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Ayyadevara, V. Kishore (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
[Berkeley] :
Apress,
2018.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Practical machine learning with Python : a problem-solver's guide to building real-world intelligent systems /
por: Sarkar, Dipanjan, et al.
Publicado: (2018) -
Supervised Machine Learning with Python : Develop Rich Python Coding Practices While Exploring Supervised Machine Learning.
por: Smith, Taylor, 1953-
Publicado: (2019) -
Hands-on machine learning for algorithmic trading bots with Python.
Publicado: (2019) -
Practical time series analysis : prediction with statistics and machine learning /
por: Nielson, Aileen
Publicado: (2019) -
Statistics for machine learning : build supervised, unsupervised, and reinforcement learning models using both Python and R /
por: Dangeti, Pratap
Publicado: (2017)