Ebook: 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. And you'll understand how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications.