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Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition

Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition

Yuxi (Hayden) Liu

E-book
Python Machine Learning By Example, Third Edition serves as a comprehensive gateway into the world of machine learning (ML).

With six new chapters, on topics including movie recommendation engine development with Naïve Bayes, recognizing faces with support vector machine, predicting stock prices with artificial neural networks, categorizing images of clothing with convolutional neural networks, predicting with sequences using recurring neural networks, and leveraging reinforcement learning for making decisions, the book has been considerably updated for the latest enterprise requirements.

At the same time, this book provides actionable insights on the key fundamentals of ML with Python programming. Hayden applies his expertise to demonstrate implementations of algorithms in Python, both from scratch and with libraries.

Each chapter walks through an industry-adopted application. With the help of realistic examples, you will gain an understanding of the mechanics of ML techniques in areas such as exploratory data analysis, feature engineering, classification, regression, clustering, and NLP.

By the end of this ML Python book, you will have gained a broad picture of the ML ecosystem and will be well-versed in the best practices of applying ML techniques to solve problems.
  • 1. Getting Started with Machine Learning and Python
  • 2. Building a Movie Recommendation Engine with Naïve Bayes
  • 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
  • Titel: Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
  • Autor: Yuxi (Hayden) Liu
  • Originaler Titel: Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
  • ISBN: 9781800203860, 9781800203860
  • Veröffentlichungsdatum: 2020-10-30
  • Format: E-book
  • Artikelkennung: e_2agq
  • Verleger: Packt Publishing