Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
Gwendolyn Stripling, Michael Abel, 9781098146825, 9781098146818, 9781098146764, 978-1098146825, 978-1098146818, 978-1098146764
Take a data-first and use-case driven approach to understanding machine learning and deep learning concepts with Low-Code AI. 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.