Can I read Low-Code AI: A Practical Project-Driven Introduction to Machine Learning on EtoBox?

Low-Code AI: A Practical Project-Driven Introduction to Machine Learning by Gwendolyn Stripling; Michael Abel is a nonfiction available to read on EtoBox.

What is Low-Code AI: A Practical Project-Driven Introduction to Machine Learning about?

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 to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: - Distinguish between structured and unstructured data and the challenges they present - Visualize and analyze data - Preprocess data...

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

Author

Gwendolyn Stripling; Michael Abel

Publisher

O'Reilly Media, Incorporated

Published

2023

Language

EN

ISBN

9781098146764

Category

nonfiction

Subjects

Science, Computer Science, Business