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Authoring Machine Learning Models from Scratch [Video]
Authoring Machine Learning Models from Scratch [Video]

Authoring Machine Learning Models from Scratch: A Step-by-Step Guide to Understanding Machine Learning Algorithms in Python [Video]

By Mike West
$15.99 per month
Video Nov 2021 1 hours 31 minutes 1st Edition
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Product Details


Publication date : Nov 23, 2021
Length 1 hours 31 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803238272
Category :
Concepts :

Key benefits

  • Know how top machine learning algorithms work internally
  • Learn to configure machine learning algorithms to get the most out of them
  • Understand the myriad of micro-decisions that a machine learning library has hidden from you in practice

Description

A complete guide to learning the details of machine learning algorithms by implementing them from scratch in Python. You will discover how to load data, evaluate models, and implement a suite of top machine learning algorithms using step-by-step tutorials. Machine learning algorithms do have a lot of math and theory under the covers, but you do not need to know why algorithms work to be able to implement them and apply them to achieve real and valuable results. In this course, you will learn how to load from CSV files and prepare data for modeling; how to select algorithm evaluation metrics and resampling techniques for a test harness; how to develop a baseline expectation of performance for a given problem; how to implement and apply a suite of linear machine learning algorithms; how to implement and apply a suite of advanced nonlinear machine learning algorithms; how to implement and apply ensemble machine learning algorithms to improve performance. This course will be an invaluable guide to understanding real-world machine learning models and help you understand the code behind math. By the end of this course, you will gain insight into real-world machine learning models and learn how to code the functions of the most used tools in machine learning. The complete code bundle for this course is available at https://github.com/PacktPublishing/Authoring-Machine-Learning-Models-from-Scratch

What you will learn

Develop a baseline expectation of performance for a given problem Learn to code the functions of the most used tools in machine learning Gain insight into who real-world machine learning models are written Gain a deep appreciation for how the algorithm works Implement and apply a suite of linear machine learning algorithms Implement and apply a suite of advanced non-linear ML algorithms

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Free for first 7 days. $15.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details


Publication date : Nov 23, 2021
Length 1 hours 31 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781803238272
Category :
Concepts :

Table of Contents

4 Chapters
Introduction Chevron down icon Chevron up icon
Data Preparation Chevron down icon Chevron up icon
Linear Algorithms Chevron down icon Chevron up icon
Non-Linear Regression Chevron down icon Chevron up icon

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