Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling, Michael Abel
English | October 17th, 2023 | ISBN: 1098146824 | 325 pages | True EPUB (Retail Copy) | 14.94 MB
Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.