Automated Machine Learning in Action

Automated Machine Learning in Action provides hands-on examples and accessible explanations to help beginners and non-data scientists understand and apply AutoML.

Format: Paperback / softback
Length: 300 pages
Publication date: 25 May 2022
Publisher: Manning Publications

Automated machine learning (AutoML) is a powerful tool that automates complex and time-consuming stages in a machine learning pipeline. It provides pre-packaged optimal solutions for data scientists, allowing them to focus on data analysis and model development. AutoML simplifies the process of selecting the best machine learning models and data preparation methods, enabling pipelines to tune themselves without constant input. This technology is particularly useful for non-data scientists who want to leverage machine learning for image classification, supervised learning, and other tasks.

The book "Automated Machine Learning in Action" is a comprehensive guide that teaches readers how to automate machine learning tasks using AutoML. It is written in an accessible style, with hands-on examples and step-by-step instructions. The book begins by covering machine learning basics, such as supervised and unsupervised learning, and then introduces AutoML.

Chapter 1: Introduction to AutoML
Chapter 2: Selecting the Best Machine Learning Models
Chapter 3: Data Preparation Methods
Chapter 4: Putting AutoML into Practice
Chapter 5: Image Classification
Chapter 6: Supervised Learning
Chapter 7: Other Applications

In conclusion, automated machine learning (AutoML) is a game-changer for data scientists and domain experts. It automates complex and time-consuming stages in a machine learning pipeline, freeing up data scientists from manual tuning and enabling them to focus on data analysis and model development. The book "Automated Machine Learning in Action" is a comprehensive guide that teaches readers how to leverage AutoML for image classification, supervised learning, and other tasks. With hands-on examples and step-by-step instructions, it is an essential resource for anyone looking to optimize their machine learning pipelines.

Weight: 616g
Dimension: 188 x 235 x 24 (mm)
ISBN-13: 9781617298059