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The Machine Learning Workshop - Second Edition

You're reading from The Machine Learning Workshop - Second Edition

Product type Book

Published in Jul 2020

Publisher Packt

ISBN-13 9781839219061

Pages 286 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Author (1):

Hyatt Saleh

Table of Contents (8) Chapters

Preface

1. Introduction to Scikit-Learn

2. Unsupervised Learning – Real-Life Applications

3. Supervised Learning – Key Steps

4. Supervised Learning Algorithms: Predicting Annual Income

5. Supervised Learning – Key Steps

6. Building Your Own Program

Appendix

Introduction to Machine Learning

Machine learning (ML) is a subset of Artificial Intelligence (AI) that consists of a wide variety of algorithms capable of learning from the data that is being fed to them, without being specifically programmed for a task. This ability to learn from data allows the algorithms to create models that are capable of solving complex data problems by finding patterns in historical data and improving them as new data is fed to the models.

These different ML algorithms use different approximations to solve a task (such as probability functions), but the key element is that they are able to consider a countless number of variables for a particular data problem, making the final model better at solving the task than humans are. The models that are created using ML algorithms are created to find patterns in the input data so that those patterns can be used to make informed predictions in the future.

Applications of ML

Some of the popular tasks that can...

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Authors (1)

Hyatt Saleh

Hyatt Saleh discovered the importance of data analysis for understanding and solving real-life problems after graduating from college as a business administrator. Since then, as a self-taught person, she not only works as a machine learning freelancer for many companies globally, but has also founded an artificial intelligence company that aims to optimize everyday processes. She has also authored Machine Learning Fundamentals, by Packt Publishing.

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