Shopping Cart

No products in the cart.

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 (3 ed)

Original price was: $54.99.Current price is: $5.00.

  • Publisher: Packt Publishing; 3rd ed. edition
  • Publication date: December 9, 2019
  • Author: Sebastian Raschka, Vahid Mirjalili
  • Language: ‎English
  • File size: 26.1 MB
  • Format: ‎PDF
  • Pages: 772 pages
Brand Electro eBooks

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 3rd ed. Edition

Applied machine learning with a solid foundation in theory. I have revised and expanded it to accommodate TensorFlow 2, GANs, and reinforcement learning.

Key Features

  • The third edition of the bestselling, widely acclaimed Python machine learning book
  • Clear and intuitive explanations take you deep into the theory and practice of Python machine learning.
  • Fully updated and expanded to cover TensorFlow 2, Generative Adversarial Network models, reinforcement learning, and best practices

Book Description

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.

Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself.

Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents.

This book is your companion to machine learning with Python, whether you're a new Python developer or want to deepen your knowledge of the latest developments.

What you will learn

  • Master the frameworks, models, and techniques that enable machines to ‘learn' from data.
  • Use scikit-learn for machine learning and TensorFlow for deep learning.
  • Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more.
  • Build and train neural networks, GANs, and other models.
  • Discover best practices for evaluating and tuning models.
  • Predict continuous target outcomes using regression analysis.
  • Dig deeper into textual and social media data using sentiment analysis.

Who this book is for

If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data.

Table of Contents

  1. Giving Computers the Ability to Learn from Data
  2. Training Simple Machine Learning Algorithms for Classification
  3. A Tour of Machine Learning Classifiers Using scikit-learn
  4. Building Good Training Datasets – Data Preprocessing
  5. Compressing Data via Dimensionality Reduction
  6. Learning Best Practices for Model Evaluation and Hyperparameter Tuning
  7. Combining Different Models for Ensemble Learning
  8. Applying machine learning to sentiment analysis
  9. Embedding a Machine Learning Model into a Web Application
  10. Predicting Continuous Target Variables with Regression Analysis
  11. Working with Unlabeled Data – Clustering Analysis
  12. Implementing a Multilayer Artificial Neural Network from Scratch
  13. Parallelizing neural network training with TensorFlow

(N.B. Please use the Look Inside option to see further chapters.)

About the Author

Sebastian Raschka is an assistant professor of statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. Some of his recent research methods have been applied to solving problems in the field of biometrics for imparting privacy to face images. Other research focus areas include the development of methods related to model evaluation in machine learning, deep learning for ordinal targets, and applications of machine learning to computational biology.

Vahid Mirjalili obtained his Ph.D. in mechanical engineering working on novel methods for large-scale computational simulations of molecular structures. Currently, he is focusing his research efforts on applications of machine learning in various computer vision projects at the Department of Computer Science and Engineering at Michigan State University. He recently joined 3M Company as a research scientist, where he uses his expertise and applies state-of-the-art machine learning and deep learning techniques to solve real-world problems in various applications to make life better.

Reviews

There are no reviews yet.

Be the first to review “Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 (3 ed)”

Your email address will not be published. Required fields are marked *

Secure Payments
Securing online payments is a shared responsibility, and everyone can contribute their share.
Free Shipping
You get unlimited free shipping on eligible items with Electro eBooks, with no minimum spend.
Gifts & Sales
Sales gifts are helpful tools that are often used to show appreciation to clients for purchasing a product.
24/7 Support
Our customer care service is offered in the form of 1st or 2nd level support.
Electro eBooks W 170

Important updates waiting for you!

Subscribe and grab 20% OFF!
Subscription Form

Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 (3 ed) PDF
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 (3 ed)

Original price was: $54.99.Current price is: $5.00.