Ranked #1
Common Sense Problems and Learning about Machine Learning
Common Sense Problems and Learning about Machine Learning
On episode three of Talking Machines we sit down with Kevin Murphy who is currently a research scientist at Google. We t... Read more
29 Jan 2015
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40mins
Ranked #2
Gaussian Processes, Grad School, and Richard Zemel
Gaussian Processes, Grad School, and Richard Zemel
See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.
23 Aug 2018
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43mins
Ranked #3
The Deep End of Deep Learning
The Deep End of Deep Learning
In this episode as we prep for ICLR we take a break from our usual format to bring you a talk from Hugo LaRochelle at Te... Read more
25 Apr 2019
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19mins
Ranked #4
The Pace of Change and The Public View of ML
The Pace of Change and The Public View of ML
In episode ten of season three we talk about the rate of change (prompted by Tim Harford), take a listener question abou... Read more
5 Oct 2017
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40mins
Ranked #5
Eric Lander and Restricted Boltzmann Machines
Eric Lander and Restricted Boltzmann Machines
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a listener question a... Read more
18 Aug 2016
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53mins
Ranked #6
Using Models in the Wild and Women in Machine Learning
Using Models in the Wild and Women in Machine Learning
In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer ... Read more
12 Feb 2015
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45mins
Ranked #7
Explainability and the Inexplicable
Explainability and the Inexplicable
In episode six of season four we chat about AI and religion, we take a listener question about personal bias checking an... Read more
19 Apr 2018
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43mins
Ranked #8
The Bezos Paradox and Machine Learning Languages
The Bezos Paradox and Machine Learning Languages
In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener question about best papers ... Read more
1 Feb 2019
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41mins
Ranked #9
Getting a Start in ML and Applied AI at Facebook
Getting a Start in ML and Applied AI at Facebook
In episode five of season three we compare and contrast AI and data science, take a listener question about getting star... Read more
13 Jul 2017
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57mins
Ranked #10
Machine Learning and Society
Machine Learning and Society
Episode seven of season two is a little different than our usual episodes, Ryan and Katherine just returned from a confe... Read more
8 Apr 2016
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48mins
Ranked #11
Jupyter Notebooks and Modern Model Distribution
Jupyter Notebooks and Modern Model Distribution
In episode four of season five we talk about Jupyter Notebooks and Neil's dream of a world craft software and devices, w... Read more
28 Feb 2019
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36mins
Ranked #12
OpenAI and Gaussian Processes
OpenAI and Gaussian Processes
In episode two of season two Ryan introduces us to Gaussian processes, we take a listener question on K-means. Plus, we ... Read more
28 Jan 2016
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35mins
Ranked #13
ANGLICAN and Probabilistic Programming
ANGLICAN and Probabilistic Programming
In episode seventeen of season two we get an introduction to Min Hashing, talk with Frank Wood the creator of ANGLICAN, ... Read more
1 Sep 2016
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44mins
Ranked #14
Good Data Practice Rules
Good Data Practice Rules
In episode five of season four we talk about the GDPR or as we like to think of it Good Data Practice Rules. (If you act... Read more
5 Apr 2018
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51mins
Ranked #15
The Long View and Learning in Person
The Long View and Learning in Person
In episode nine of season three we chat about the difference between models and algorithms, take a listener question abo... Read more
21 Sep 2017
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1hr 5mins
Ranked #16
Spark and ICML
Spark and ICML
In episode eleven of season two, we talk about the machine learning toolkit Spark, we take a listener question about th... Read more
2 Jun 2016
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39mins
Ranked #17
The Automatic Statistician and Electrified Meat
The Automatic Statistician and Electrified Meat
In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Departm... Read more
26 Mar 2015
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45mins
Ranked #18
Automatic Translation and t-SNE
Automatic Translation and t-SNE
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) we take a listener ... Read more
7 Jul 2016
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32mins
Ranked #19
Fantasizing Cats and Data Numbers
Fantasizing Cats and Data Numbers
In episode twelve of season two, we talk about generative adversarial networks, we take a listener question about using ... Read more
16 Jun 2016
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49mins
Ranked #20
Starting Simple and Machine Learning in Meds
Starting Simple and Machine Learning in Meds
In episode nine we talk with George Dahl, of the University of Toronto, about his work on the Merck molecular activity ... Read more
23 Apr 2015
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38mins