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The Talking Machines

Educational >

More Information

Location:

Harvard University, Cambridge, MA

Twitter:

@TlkngMchns

Language:

English


Episodes

The Pace of Change and The Public View of ML

10/5/2017
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In episode ten of season three we talk about the rate of change (prompted by Tim Harford), take a listener question about the power of kernels, and talk with Peter Donnelly in his capacity with the Royal Society's Machine Learning Working Group about the work they've done on the public's views on AI and ML.

Duration: 00:40:49


The Long View and Learning in Person

9/21/2017
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In episode nine of season three we chat about the difference between models and algorithms, take a listener question about summer schools and learning in person as opposed to learning digitally, and we chat with John Quinn of the United Nations Global Pulse lab in Kampala, Uganda and Makerere University's Artificial Intelligence Research group.

Duration: 01:06:27


Machine Learning in the Field and Bayesian Baked Goods

9/7/2017
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In episode eight of season three we return to the epic (or maybe not so epic) clash between frequentists and bayesians, take a listener question about the ethical questions generators of machine learning should be asking of themselves (not just their tools) and we hear a conversation with Ernest Mwebaze of Makerere University.

Duration: 00:59:24


Data Science Africa with Dina Machuve

8/10/2017
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In episode seven of season three we take a minute to break way from our regular format and feature a conversation with Dina Machuve of the Nelson Mandela African Institute of Science and Technology we cover everything from her work to how cell phone access has changed data patterns. We got to talk with her at the Data Science Africa confrence and workshop.

Duration: 00:48:13


The Church of Bayes and Collecting Data

7/27/2017
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In episode six of season three we chat about the difference between frequentists and Bayesians, take a listener question about techniques for panel data, and have an interview with Katherine Heller of Duke

Duration: 00:49:36


Getting a Start in ML and Applied AI at Facebook

7/13/2017
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In episode five of season three we compare and contrast AI and data science, take a listener question about getting started in machine learning, and listen to an interview with Joaquin Quiñonero Candela. For a great place to get started with foundational ideas in ML, take a look at Andrew Ng’s course on Coursera. Then check out Daphne Kohler’s course. Talking Machines is now working with Midroll to source and organize sponsors for our show. In order find sponsors who are a good fit for...

Duration: 00:57:47


Bias Variance Dilemma for Humans and the Arm Farm

6/29/2017
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In episode four of season three Neil introduces us to the ideas behind the bias variance dilemma (and how how we can think about it in our daily lives). Plus, we answer a listener question about how to make sure your neural networks don't get fooled. Our guest for this episode is Jeff Dean, Google Senior Fellow in the Research Group, where he leads the Google Brain project. We talk about a closet full of robot arms (the arm farm!), image recognition for diabetic retinopathy, and equality...

Duration: 00:50:10