Overview

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning-the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications. Then, you'll dive into the tools, code, and math that make machine learning go-and you'll even get step-by-step instructions for testing it out on your own. For an easy-to-follow introduction to building smart algorithms, this Dummies guide is your go-to. Piece together what machine learning is, what it can do, and what it can't do Learn the basics of machine learning code and how it integrates with large datasets Understand the mathematical principles that AI uses to make itself smarter Consider real-world applications of machine learning and write your own algorithms With clear explanations and hands-on instruction, Machine Learning For Dummies is a great entry-level resource for developers looking to get started with AI and machine learning.

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Luca Massaron is a data scientist who specializes in organizing big data and transforming it into smart data. He is a Google Developer Expert (GDE) in AI and machine learning. John Paul Mueller was a longtime tech author whose credits include previous editions of Artificial Intelligence For Dummies along with Machine Learning For Dummies and Algorithms For Dummies. From his home studio on the Jersey Shore, Brian P. Craig helps his clients make a lasting connection with their audiences. Brian has narrated more than thirty audiobooks, many of them for Recorded Books. He has also voiced a national radio ad campaign for Scotts Turf Builder, explainer videos for the Federal Emergency Management Administration, and the in-development character of J Jonah Jameson for Marvel's SNAP game. Brian was selected as a 2025 finalist in the Professional Audiobook Narrators Association's Narrators of Distinction Program.

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