Machine Learning For Dummies
Machine Learning For Dummies
John Paul Mueller
Mark Cuban
Mark Cuban said he's reading this book in a Politico interview.
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Machine Learning For Dummies

Machine Learning for Dummies

John Paul Mueller
By
John Paul Mueller
3.5
124
ratings on Goodreads

In the ever-evolving realm of technology, the mysterious and complex world of machine learning unfolds as a cornerstone of innovation, powering everything from the subtleties of fraud detection to the intricacies of web search algorithms. "Machine Learning For Dummies" by John Paul Mueller and Luca Massaron stands as an essential beacon for the uninitiated, guiding readers through the labyrinthine concepts with clarity and ease. This book demystifies the science behind AI's most enigmatic offshoot, making accessible the once-impenetrable subjects of algorithmic design and data processing to a broad audience. Crafted with the beginner in mind, it ensures that the reader not only grasps the fundamentals of machine learning but also appreciates its practical applications in day-to-day technology. Beyond merely an introduction, Mueller and Massaron offer a hands-on journey into the world of machine learning. With their expert knowledge, they navigate you through the necessary programming languages, tools, and mathematical principles, transforming abstract concepts into tangible skills. "Machine Learning For Dummies" is not just a book; it's a comprehensive toolkit designed to empower you to harness the potential of machine learning in your projects and professional endeavors. Whether you're battling confusion over algorithms, dreading the data, or simply curious about the computational power behind today's tech marvels, this guide is your roadmap to becoming fluent in the language of the future.

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Released
2016
1 Jan
Length
410
Pages

1

recommendations

recommendation

Mark Cuban said he's reading this book in a Politico interview.
The central idea is that you can represent reality using a mathematical function that the algorithm doesn’t know in advance but can guess after having seen some data. You can express reality and all its challenging complexity in terms of unknown mathematical functions that machine learning algorithms find and make advantageous. This concept is the core idea for all kinds of machine learning algorithms.
— John Paul Mueller, Machine Learning For Dummies

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