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

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.