Liu Python Machine Learning by Example

Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
3. Auflage 2020
ISBN: 978-1-80020-386-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 526 Seiten

No detailed description available for "Python Machine Learning by Example".

Autoren/Hrsg.

Liu, Yuxi (Hayden)

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Getting Started with Machine Learning and Python
- Building a Movie Recommendation Engine with Na
- Recognizing Faces with Support Vector Machine
- Predicting Online Ad Click-Through with Tree-Based Algorithms
- Predicting Online Ad Click-Through with Logistic Regression
- Scaling Up Prediction to Terabyte Click Logs
- Predicting Stock Prices with Regression Algorithms
- Predicting Stock Prices with Artificial Neural Networks
- Mining the 20 Newsgroups Dataset with Text Analysis Techniques
- Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling
- Machine Learning Best Practices
- Categorizing Images of Clothing with Convolutional Neural Networks
- Making Predictions with Sequences Using Recurrent Neural Networks
- Making Decisions in Complex Environments with Reinforcement Learning

Über Autor(innen)

Liu Yuxi (Hayden):

Yuxi (Hayden) Liu was a Machine Learning Software Engineer at Google. With a wealth of experience from his tenure as a machine learning scientist, he has applied his expertise across data-driven domains and applied his ML expertise in computational advertising, cybersecurity, and information retrieval. He is the author of a series of influential machine learning books and an education enthusiast. His debut book, also the first edition of Python Machine Learning by Example, ranked the #1 bestseller in Amazon and has been translated into many different languages.