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

by Michael Abel and Gwendolyn Stripling

Book Overview

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.

Business and data analysts get a project-based introduction...

• Format: Paperback
• Language: English
• ISBN: 1098146824
• ISBN13: 9781098146825
• Release Date: October 2023
• Publisher: O'Reilly Media
• Length: 325 Pages
• Weight: 1.15 lbs.
• Dimensions: 0.7" x 7.0" x 9.2"