Have a personal or library account? Click to login
Python Machine Learning by Example Cover

Python Machine Learning by Example

Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn

Paid access
|Nov 2020
Product purchase options

Table of Contents

  1. Getting Started with Machine Learning and Python
  2. Building a Movie Recommendation Engine with Na
  3. Recognizing Faces with Support Vector Machine
  4. Predicting Online Ad Click-Through with Tree-Based Algorithms
  5. Predicting Online Ad Click-Through with Logistic Regression
  6. Scaling Up Prediction to Terabyte Click Logs
  7. Predicting Stock Prices with Regression Algorithms
  8. Predicting Stock Prices with Artificial Neural Networks
  9. Mining the 20 Newsgroups Dataset with Text Analysis Techniques
  10. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
  11. Machine Learning Best Practices
  12. Categorizing Images of Clothing with Convolutional Neural Networks
  13. Making Predictions with Sequences Using Recurrent Neural Networks
  14. Making Decisions in Complex Environments with Reinforcement Learning
PDF ISBN: 978-1-80020-386-0
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 526

People also read