★★★★☆
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2019-03-15
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data - de Ankur A. Patel (Author)
Caractéristiques Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
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| Le Titre Du Livre | Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data |
| Publié Le | 2019-03-15 |
| Traducteur | Caia Tehmina |
| Nombre de Pages | 377 Pages |
| La taille du fichier | 42.99 MB |
| Langue du Livre | Français & Anglais |
| Éditeur | Fairview Press |
| ISBN-10 | 0911445472-BIE |
| Format de Livre | AMZ ePub PDF iBook XPS |
| Écrivain | Ankur A. Patel |
| Digital ISBN | 250-7569056458-JTI |
| Nom de Fichier | Hands-On-Unsupervised-Learning-Using-Python-How-to-Build-Applied-Machine-Learning-Solutions-from-Unlabeled-Data.pdf |
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• Explore unsupervised learning with clustering autoencoders restricted Boltzmann machines and more • Build your own neural network models using modern Python libraries • Practical examples show you how to implement different machine learning and deep learning techniques
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HandsOn Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field and the confidence and practice to build and analyze your own machine learning models With the help of interesting and easytofollow practical examples Frank Kane explains potentially complex topics such as Bayesian methods and Kmeans clustering in a
This book is outstanding it provides enough theory mixed with realworld examples and code to learn what is necessary to build and curate recommender systems If you are a beginner the book will help you learn If you are an old dog you can learn new tricks