Machine Learning, Ethem Alpaydi
Machine Learning, Ethem Alpaydi
12 Rating(s)
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Machine Learning
The New AI

Author: Ethem Alpaydi

Narrator: Steven Menasche

Unabridged: 4 hr 24 min

Format: Digital Audiobook Download

Publisher: Ascent Audio

Published: 10/01/2016


Synopsis

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as "Big Data" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of "data science," and discusses the ethical and legal implications for data privacy and security.

Reviews

Goodreads review by Zac on June 11, 2017

Recommended to me by a product manager at Hulu. It's not too technical, but I wish the book was condensed into more of a primer with more theory/conceptual discussion and examples rather than over-explaining technical details. The engineers reading will be sick of hearing it and the managers/non-eng......more

Goodreads review by Richard on February 13, 2022

I already knew a bit about machine learning from reading books written for a broad popular audience. This was the next step up. I learned a few new things about techniques for attacking different types of large data sets and for building neural networks, but a most of this won't stick and isn't in m......more

Goodreads review by Colin on May 07, 2020

This was an interesting and broad introduction to the topic of machine learning. It was accessible enough not to feel overwhelmed, and managed not to bombard you with technical terms. I read this for professional development, and feel I reaped the necessary benefits. Given I normally read for pleasu......more