Supervised machine learning with Python: develop rich Python coding practices while exploring supervised machine learning

✍ Scribed by Smith, Taylor

Publisher: Packt Publishing
Year: 2019
Tongue: English
Category: Library

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✦ Synopsis

Teach your machine to think for itself!

Key Features

Delve into supervised learning and grasp how a machine learns from data

Implement popular machine learning algorithms from scratch, developing a deep understanding along the way

Explore some of the most popular scientific and mathematical libraries in the Python language

Book Description

Supervised machine learning is used in a wide range of sectors (such as finance, online advertising, and analytics) because it allows you to train your system to make pricing predictions, campaign adjustments, customer recommendations, and much more while the system self-adjusts and makes decisions on its own. As a result, it's crucial to know how a machine "learns" under the hood.

This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms while facilitating a deep understanding along the way. You'll embark on this journey with a quick...

✦ Table of Contents

Table of ContentsFirst step towards supervised learningImplementing parametric modelsWorking with non-parametric modelsAdvanced topics in supervised machine learning

✦ Subjects

Machine learning;Python (Computer program language)

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