The Master Algorithm
 | |
| Author | Pedro Domingos |
|---|---|
| Language | English |
| Subject | Artificial intelligence |
| Genre | Philosophy, popular science |
| Publisher | Basic Books |
Publication date | September 22, 2015 |
| Publication place | United States |
| Media type | Print, e-book, audiobook |
| Pages | 352 pp. |
| ISBN | 978-0465065707 |
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World is a book by Pedro Domingos released in 2015. Domingos wrote the book in order to generate interest from people outside the field.
The book outlines five tribes of machine learning: inductive reasoning, connectionism, evolutionary computation, bayes theorem and analogical modelling. The author explains these tribes to the reader by referring to more understandable processes of logic, connections made in the brain, natural selection, probability and similarity judgements. Throughout the book, it is suggested that each different tribe has the potential to contribute to a unifying "master algorithm".
Towards the end of the book the author pictures a "master algorithm" in the near future, where machine learning algorithms asymptotically grow to a perfect understanding of how the world and people in it work.[1] Although the algorithm doesn't yet exist, he briefly reviews his own invention of the Markov logic network.[2]
References
- ^ "Pedro Domingos' Master Algorithm: How machine learning is reshaping how we live". Slate.com. Retrieved September 26, 2015.
- ^ Domingos, Pedro (2015). The Master Algorithm: How machine learning is reshaping how we live. pp. 246–7.
- https://www.timeshighereducation.com/books/review-the-master-algorithm-pedro-domingos-allen-lane
- https://www.wsj.com/articles/the-sum-of-human-knowledge-1442610803
- https://www.kirkusreviews.com/book-reviews/pedro-domingos/the-master-algorithm/
- http://www.kdnuggets.com/2015/09/book-master-algorithm-pedro-domingos.html
- http://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html (interview)
External links
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