Introduction to machine learning with Python : a guide for data scientists /
"Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learnin...
Cote: | Libro Electrónico |
---|---|
Auteurs principaux: | Müller, Andreas C. (Auteur), Guido, Sarah (Auteur) |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
Sebastopol, CA :
O'Reilly Media, Inc,
[2017]
|
Édition: | First edition. |
Sujets: | |
Accès en ligne: | Texto completo (Requiere registro previo con correo institucional) |
Documents similaires
-
Machine learning and data science with Python : a complete beginners guide /
par: Nelson, Abhilash
Publié: (2019) -
Deep learning with Python : learn best practices of deep learning models with PyTorch /
par: Ketkar, Nikhil, et autres
Publié: (2021) -
Deep learning with Python : learn best practices of deep learning models with PyTorch /
par: Ketkar, Nikhil, et autres
Publié: (2021) -
Machine learning with Pytorch and Sscikit-Learn : develop machine learning and deep learning models with scikit-learn and PyTorch /
par: Raschka, Sebastian
Publié: (2022) -
Authoring machine learning models from scratch /
Publié: (2021)