ACM Learning Webinars

ACM members and non-member alike are welcome to attend our popular series of free Learning Webinars by expert industry professionals, distinguished ACM award laureates, and visionary researchers from industry and academia. Focused on keeping our global audience of busy practitioners at the forefront of technical trends, professional development, and emerging technologies, the webinars are also popular with students and educators. Recent talks have covered topics in Artificial Intelligence and Machine Learning, Big Data and Data Science, Blockchain, Computer Vision, Deep Learning, JavaScript, Microservices, Python, Quantum Computing, and more. Registration is free and the webinars can be attended both live and on-demand, on desktop and mobile devices. Check this page frequently for upcoming events as well as our on-demand archive. To subscribe to our webinar announcements, email learning@acm.org.

View Our Latest Webinar

Bayesian Methods and Probabilistic Models with Allen Downey

Tools like PyMC and Stan make it easy to implement probabilistic models, but getting started can be challenging. In this talk I present a strategy for simultaneously developing and implementing probabilistic models by alternating between forward and inverse probabilities and between grid algorithms and MCMC. This process helps developers validate modeling decisions and verify their implementation. As an example, I will use a version of the "Boston Bruins problem," which I presented in Think Bayes, updated for the 2017-18 season. I will also present and request comments on my plans for the second edition of Think Bayes.

ACM Learning Center Webinar Archive

ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM Learning Webinars, free for members and non-members alike.

Webinars on Artificial Intelligence & Machine Learning

Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.

The Future of Wireless and What It Will Enable

Register now for the next ACM Learning Webinar, "The Future of Wireless and What It Will Enable," presented live on Wednesday, April 3, by Andrea Goldsmith, Stephen Harris Professor in the School of Engineering at Stanford University and 2018-2019 ACM Athena Lecturer. Continue the discussion and checkout further resources on ACM's Discourse Page.

Image of Andrea Goldsmith

Building a Culture to Support Inclusive Design

View the most recent ACM Learning Webinar, "Building a Culture to Support Inclusive Design," on demand. The talk was presented by Jen Devins, Google Accessibility UX Lead and Nithya Sambasivan, Senior User Experience Researcher at Google. Continue the discussion and checkout further resources on ACM's Discourse Page.

Image of Jen Devins