Today, machine learning underlies a range of applications we use each day, from product recommendations to voice recognition — aswell seeing that some we don’t however use everyday, including driverless cars. It’s the basis of the brand new approach in computing where we usually do not compose programs but collect data; the idea is to learn the algorithms for the tasks instantly from data. As computing devices grow even more ubiquitous, a larger a part of our lives and work is recorded digitally, so that as ‘Big Data’ provides about Machine Learning: The New AI gotten bigger, the idea of machine learning — the foundation of attempts to process that data into understanding — in addition has advanced. With this audiobook, machine learning expert Ethem Alpaydin offers a concise summary of the topic for the overall listener, explaining its evolution, explaining important learning algorithms, and showing example applications. Alpaydin provides an accounts 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 systems inspired with the human brain; algorithms that find out associations between instances, with such applications as client segmentation and learning suggestions; and reinforcement learning, when an autonomous agent learns act in order to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of ‘data technology,’ and discusses the moral and legal implications for data personal privacy and security.