Low-Code AI: A Practical Project-Driven Introduction to Machine Learning

ISBN-13: 9781098146825 / Angielski

Gwendolyn Stripling; Michael Abel

Opis

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.