AI and Machine Learning PDF EPUB MOBI

Low-Code AI

Downloads: 100+
First published: 2023
Pages: 451

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About this book

Low-Code AI A Practical Project-Driven Introduction to Machine Learning is a book written by Gwendolyn Stripling and Michael Abel. The book provides a data-first and use-case-driven approach to understanding machine learning and deep learning concepts. It presents three problem-focused ways to learn machine learning: no-code ML using AutoML, low-code using BigQuery ML, and custom code using sci-kit-learn and Keras.

About the author

Gwendolyn Stripling

Low-Code AI teaches machine learning to people who are never going to write much code, using managed cloud tools and worked business examples, and Michael Abel is its co-author.

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