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Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets /
With this book, you will learn how to perform various machine learning tasks in different environments. You'll use a wide variety of machine learning algorithms using Python to solve real-world problems. By the end of the book, you will learn to implement most used machine learning algorithms u...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2019.
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| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Python machine learning cookbook : over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition
- Contributors
- Table of Contents
- Preface
- Chapter 1: The Realm of Supervised Learning
- Chapter 2: Constructing a Classifier
- Chapter 3: Predictive Modeling
- Chapter 4: Clustering with Unsupervised Learning
- Chapter 5: Visualizing Data
- Chapter 6: Building Recommendation Engines
- Chapter 7: Analyzing Text Data
- Chapter 8: Speech Recognition
- Chapter 9: Dissecting Time Series and Sequential Data
- Chapter 10: Analyzing Image Content
- Chapter 11: Biometric Face Recognition
- Chapter 12: Reinforcement Learning Techniques
- Chapter 13: Deep Neural Networks
- Chapter 14: Unsupervised Representation Learning
- Chapter 15: Automated Machine Learning and Transfer Learning
- Chapter 16: Unlocking Production Issues
- Other Books You May Enjoy
- Index.