Foundations and trends in machine learning
Foundations and trends in machine learning is a book series. It includes 3 books, written by 3 different authors.
Key facts
- number of authors: 3 people
- number of books: 3
- books: Data analytics on graphs, Introduction to multi-armed bandits, Minimum-distortion embedding
- authors: Ljubiša Stanković, Aleksandrs Slivkins, Akshay Agrawal
- publication dates: 2021, 2019, 2021
- book publishers: unknown, Now Publishers
Extract data
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Dataset of books in the Foundations and trends in machine learning series
"Foundations and trends in machine learning" is one of the 88,457 book series in our database.
This dashboard is based on data from: The British Library.
This content is available under the CC BY 4.0 license.