Python Machine Learning by Sebastian Raschka PDF Download

Python Machine Learning by Sebastian Raschka PDF

Download Python Machine Learning by Sebastian Raschka PDF eBook free. The “Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and Tensorflow2, 3rd Edition” is a comprehensive guide to machine learning and deep learning with Python.

Description of Python Machine Learning by Sebastian Raschka PDF

The “Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and Tensorflow2, 3rd Edition” is a great book for anyone who is interested to learn about Python. Sebastian Raschka and Vahid Mirjalili are the authors of this programming book. Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. Python Machine Learning is packed with clear explanations, visualizations and working examples. The authors will teach the principles behind machine learning, allowing you to build models and applications for yourself. After reading this book, the reader will learn how to build and train neural networks, GANs, and other models.

This book begins by giving you an overview of machine learning with Python. After reading this book, the reader will also learn how to apply machine learning to image classification, sentiment analysis, intelligent web applications and more. Python Machine Learning is written for developers and scientists who want to create a practical machine learning and deep learning code.  All in all, Python Machine Learning is an ideal book for anyone who wants to teach computers how to learn from data.

 Detail About Python Machine Learning by Sebastian Raschka PDF

  • Name: Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and Tensorflow2, 3rd Edition
  • Author: Sebastian Raschka
  • ISBN: 1789955750
  • Language: English
  • Genre: Python Programming, Computer Neural Networks
  • Format: PDF/ePub
  • Size: 10 MB
  • Page: 770
  • Price: Free

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