Machine Learning Fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning

by Hyatt Saleh

Overview

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each dataset. You'll apply unsupervised clustering algorithms over real-world datasets, to discover patterns and profiles, and explore the process to solve an unsupervised machine learning problem.

The focus of the book then shifts to supervised learning algorithms. You'll learn to implement different supervised algorithms and develop neural network structures using the scikit-learn package. You'll also learn how to perform coherent result analysis to improve the performance of the algorithm by tuning hyperparameters.

By the end of this book, you will have gain all the skills required to start programming machine learning algorithms.

Product Details

ISBN-13:	9781789801767
Publisher:	Packt Publishing
Publication date:	11/29/2018
Sold by:	Barnes & Noble
Format:	eBook
Pages:	240
File size:	9 MB

About the Author

After graduating from college as a business administrator, Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems. Since then, as a self-taught person, she has not only worked as a freelancer for many companies around the world in the field of machine learning, but also founded an artificial intelligence company that aims to optimize everyday processes.
After graduating from college as a business administrator, Hyatt Saleh discovered the importance of data analysis to understand and solve real-life problems. Since then, as a self-taught person, she has not only worked as a freelancer for many companies around the world in the field of machine learning, but has also founded an artificial intelligence company that aims to optimize everyday processes.

Table of Contents

Table of Contents

1. Introduction to sciki-learn
2. Unsupervised Learning: Real-life Applications
3. Supervised Learning: Key Steps
4. Supervised Learning Algorithms: Predict Annual Income
5. Artificial Neural Networks: Predict of Annual Income
6. Building Your Own Program