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Python Machine Learning (Wiley)

You're reading from   Python Machine Learning (Wiley) Python makes machine learning easy for beginners and experienced developers

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Product type Paperback
Published in Apr 2019
Publisher Wiley
ISBN-13 9781119545637
Length 320 pages
Edition 1st Edition
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Author (1):
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Wei-Meng Lee Wei-Meng Lee
Author Profile Icon Wei-Meng Lee
Wei-Meng Lee
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Table of Contents (16) Chapters Close

1. Cover
2. Introduction FREE CHAPTER
3. CHAPTER 1: Introduction to Machine Learning 4. CHAPTER 2: Extending Python Using NumPy 5. CHAPTER 3: Manipulating Tabular Data Using Pandas 6. CHAPTER 4: Data Visualization Using matplotlib 7. CHAPTER 5: Getting Started with Scikit‐learn for Machine Learning 8. CHAPTER 6: Supervised Learning—Linear Regression 9. CHAPTER 7: Supervised Learning—Classification Using Logistic Regression 10. CHAPTER 8: Supervised Learning—Classification Using Support Vector Machines 11. CHAPTER 9: Supervised Learning—Classification Using K‐Nearest Neighbors (KNN) 12. CHAPTER 10: Unsupervised Learning—Clustering Using K‐Means 13. CHAPTER 11: Using Azure Machine Learning Studio 14. CHAPTER 12: Deploying Machine Learning Models 15. Index
16. End User License Agreement

CHAPTER 1
Introduction to Machine Learning

Welcome to Python Machine Learning! The fact that you are reading this book is a clear indication of your interest in this very interesting and exciting topic.

This book covers machine learning, one of the hottest programming topics in more recent years. Machine learning (ML) is a collection of algorithms and techniques used to design systems that learn from data. These systems are then able to perform predictions or deduce patterns from the supplied data.

With computing power increasing exponentially and prices decreasing simultaneously, there is no better time for machine learning. Machine learning tasks that usually require huge processing power are now possible on desktop machines. Nevertheless, machine learning is not for the faint of heart—it requires a good foundation in mathematics, statistics, as well as programming knowledge. The majority of the books in the market on machine learning go into too much detail, which often leaves...

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