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Book cover of Low-Code AI

Low-Code AI

A Practical Project-Driven Introduction to Machine Learning

Gwendolyne Stripling
Michael Abel

83
This hands-on guide presents three problem-focused ways to learn ML: no code using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. You'll learn key ML concepts by using real-world datasets with realistic problems.
Publisher: O'Reilly Media
Binding: Paperback
Publication date: 29 Sept 2023
Dimensions: 178 x 235 x 20 mm
ISBN: 9781098146825