Free Download Low-Code AI
English | 2024 | ISBN: 9781098146818 | 109 Pages | EPUB (True) | 6 MB
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.