# Machine Learning for Algorithm Design

**URL:** <https://on.acm.org/t/machine-learning-for-algorithm-design/2150>\
**Category:** ACM TechTalks\
**Created:** [October 7, 2021, 2:48pm UTC](https://on.acm.org/t/machine-learning-for-algorithm-design/2150 "2021-10-07T14:48:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![ACM-Learning](https://avatars.discourse-cdn.com/v4/letter/a/e19adc/32.png) [@ACM-Learning](https://on.acm.org/u/ACM-Learning)\
**Post date:** [October 7, 2021, 2:48pm UTC](https://on.acm.org/t/machine-learning-for-algorithm-design/2150/1 "2021-10-07T14:48:37Z")

</div>

Title: Machine Learning for Algorithm Design  
Date: October 26, 2021  
Duration: 1 HR

SPEAKER  
Maria Florina Balcan, Cadence Design Systems Professor of Computer Science , Carnegie Mellon University

MODERATOR  
Steve Hanneke, Purdue University

[Registration Link](https://webinars.on24.com/acm/balcan)

[Machine Learning: Algorithms and Applications](https://acm.skillport.com/skillportfe/main.action?path=summary/BOOKS/117434) (Skillsoft Book, free for ACM Members)  
[Machine & Deep Learning Algorithms: Introduction](https://acm.skillport.com/skillportfe/main.action?path=summary/COURSES/it_dsmdladj_01_enus) (Skillsoft course, free for ACM members)  
[Algorithm Design and Applications](https://acm.skillport.com/skillportfe/main.action?path=summary/BOOKS/72665) (Skillsoft Book, free for ACM members)  
[The Algorithm Design Manual, Second Edition](https://acm.skillport.com/skillportfe/main.action?path=summary/BOOKS/34554) (Skillsoft Book, free for ACM members)  
[Introducing Algorithms in C: A Step by Step Guide to Algorithms in C](https://acm.skillport.com/skillportfe/main.action?path=summary/BOOKS/150035) (Skillsoft Book, free for ACM members)  
[Applying Machine Learning](https://acm.skillport.com/skillportfe/main.action?path=summary/COURSES/sd_exml_a06_it_enus) (Skillsoft course, free for ACM members)  
[Practical Machine Learning in R](https://acm.skillport.com/skillportfe/main.action?path=summary/BOOKS/151073) (Skilsoft Book, free for ACM members)
