Machine Learning: The New Ai (The Mit Press Essential Knowledge Series)
- 4h 24m 57s
- Ethem Alpaydin
- Gildan Media
- 2016
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 every day, 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
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Chapter 1: Why We Are Interested in Machine Learning
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Chapter 2: Machine Learning, Statistics, and Data Analytics
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Chapter 3: Pattern Recognition
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Chapter 4: Neural Networks and Deep Learning
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Chapter 5: Learning Clusters and Recommendations
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Chapter 6: Learning to Take Actions
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Chapter 7: Where Do We Go from Here?
