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Practical Machine Learning Cookbook

You're reading from   Practical Machine Learning Cookbook Supervised and unsupervised machine learning simplified

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785280511
Length 570 pages
Edition 1st Edition
Languages
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Author (1):
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Atul Tripathi Atul Tripathi
Author Profile Icon Atul Tripathi
Atul Tripathi
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Table of Contents (15) Chapters Close

Preface 1. Introduction to Machine Learning FREE CHAPTER 2. Classification 3. Clustering 4. Model Selection and Regularization 5. Nonlinearity 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement Learning 9. Structured Prediction 10. Neural Networks 11. Deep Learning 12. Case Study - Exploring World Bank Data 13. Case Study - Pricing Reinsurance Contracts 14. Case Study - Forecast of Electricity Consumption

Chapter 1. Introduction to Machine Learning

In this chapter, we will cover an introduction to machine learning and various topics covered under machine learning. In this chapter you will learn about the following topics:

  • What is machine learning?
  • An overview of classification
  • An overview of clustering
  • An overview of model selection and regularization
  • An overview of non-linearity
  • An overview of supervised learning
  • An overview of unsupervised learning
  • An overview of reinforcement learning
  • An overview of structured prediction
  • An overview of neural networks
  • An overview of deep learning
You have been reading a chapter from
Practical Machine Learning Cookbook
Published in: Apr 2017
Publisher: Packt
ISBN-13: 9781785280511
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