Building machine learning systems with Python explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2018
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| Edition: | Third edition |
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Building machine learning systems with Python : explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow
- Contributors
- Table of Contents
- Preface
- Chapter 1: Getting Started with Python Machine Learning
- Chapter 2: Classifying with Real-World Examples
- Chapter 3: Regression
- Chapter 4: Classification I
- Detecting Poor Answers
- Chapter 5: Dimensionality Reduction
- Chapter 6: Clustering
- Finding Related Posts
- Chapter 7: Recommendations
- Chapter 8: Artificial Neural Networks and Deep Learning
- Chapter 9: Classification II
- Sentiment Analysis
- Chapter 10: Topic Modeling
- Chapter 11: Classification III
- Music Genre Classification
- Chapter 12: Computer Vision
- Chapter 13: Reinforcement Learning
- Chapter 14: Bigger Data
- Where to Learn More About Machine Learning
- Other Books You May Enjoy
- Index