Machine Learning Fundamentals

Machine Learning Fundamentals: Use Python and scikit-learn to get up and running with the hottest developments in machine learning
By 作者: Hyatt Saleh
ISBN-10 书号: 1789803551
ISBN-13 书号: 9781789803556
Release Finelybook 出版日期: 2018-11-29
pages 页数: (240 )

$34.99


Book Description to Finelybook sorting

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.

Contents
What You Will Learn
Understand the importance of data representation
Gain insights into the differences between supervised and unsupervised models
Explore data using the Matplotlib library
Study popular algorithms, such as k-means, Mean-Shift, and DBSCAN
Measure model performance through different metrics
Implement a confusion matrix using scikit-learn
Study popular algorithms, such as Naïve-Bayes, Decision Tree, and SVM
Perform error analysis to improve the performance of the model
Learn to build a comprehensive machine learning program
Authors
Hyatt Saleh
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. She is also the author of another Packt book, titled “Machine Learning Fundamentals”.

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