Gwendolyne Stripling, Michael Abel

Low-Code AI

A Practical Project-Driven Introduction to Machine Learning

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 325
• Erscheinungstermin: 17. Oktober 2023
• Englisch
• Abmessung: 234mm x 175mm x 20mm
• Gewicht: 572g
• ISBN-13: 9781098146825
• ISBN-10: 1098146824
• Artikelnr.: 67738833

Autorenporträt

Michael Abel, PhD, is the technical lead for the specialized training program at Google Cloud, working to accelerate and deepen Cloud proficiency of customers through differentiated and non-standard learning experiences. Formerly, Abel was a data and machine learning technical trainer at Google Cloud and has taught the following Google Cloud courses: "Machine Learning on Google Cloud," "Advanced Solutions Labs ML Immersion," and "Data Engineering on Google Cloud." Before joining Google, Abel served as a Visiting Assistant Professor of Mathematics at Duke University, where he performed mathematics research and taught undergraduate mathematics.