Bandit Algorithms (Cambridge University Press)
Friday, 02 October 2020

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. Tor Lattimore and Csaba Szepesvári focus on both mathematical intuition and carefully worked proofs. 

<ASIN:1108486827>

Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. 

Author: Tor Lattimore and Csaba Szepesvári
Publisher: Cambridge University Press
Date: September 2020
Pages: 536
ISBN: 978-1108486828
Print: 1108486827
Kindle: B088TJ1564
Audience: mathematically minded developers
Level: Intermediate/Advanced
Category: Artificial Intelligence

bandalg

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


Testing JavaScript Applications

Author: Lucas da Costa
Publisher: Manning
Date: April 2021
Pages: 512
ISBN: 978-1617297915
Print: 1617297917
Audience: JavaScript developers
Level: Intermediate
Rating: 5
Reviewer: Ian Elliot
Testing the most web's fundamental language is clearly important...



WordPress Plugin Development, 2nd Ed

Author: Brad Williams, Justin Tadlock, John James Jacoby
Publisher: Wrox
Pages: 480
ISBN: 978-1119666943
Print: 1119666945
Kindle: B0899MW9CP
Audience: WordPress developers
Rating: 4.5
Reviewer: Kay Ewbank

The authors of this book are well-known in the WordPress world, with more than 100 published plug [ ... ]


More Reviews