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. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Sep 21, 2017•1 hr 6 min•Ep. 9
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. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Sep 08, 2017•1 hr
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. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Aug 10, 2017•48 min
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 See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jul 28, 2017•50 min
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 us, an...
Jul 13, 2017•58 min
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...
Jun 29, 2017•50 min
In this episode three of season three of Talking Machines we dive into overfitting, take a listener question about unbalanced data and talk with Professor (Emeritus) Tom Dietterich from Oregon State University. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jun 15, 2017•41 min
In episode two of season three Neil takes us through the basics on dropout, we chat about the definition of inference (It's more about context than you think!) and hear an interview with Jennifer Chayes of Microsoft. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
May 25, 2017•42 min
Talking Machines is entering its third season and going through some changes. Our founding host Ryan is moving on and in his place Neil Lawrence of Amazon is taking over as co host. We say thank you and good bye to Ryan with an interview about his work. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Apr 27, 2017•34 min
In episode seventeen of season two we get an introduction to Min Hashing, talk with Frank Wood the creator of ANGLICAN, about probabilistic programming and his new company, INVREA, and take a listener question about how to choose an architecture when using a neural network. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Sep 01, 2016•44 min
In episode sixteen of season two, we get an introduction to Restricted Boltzmann Machines, we take a listener question about tuning hyperparameters, plus we talk with Eric Lander of the Broad Institute. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Aug 18, 2016•54 min
In episode fifteen of season two, we talk about Hamiltonian Monte Carlo, we take a listener question about unbalanced data, plus we talk with Doug Eck of Google’s Magenta project. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.
Aug 04, 2016•47 min
In episode fourteen of season two, we talk about Perturb-and-MAP, we take a listener question about classic artificial intelligence ideas being used in modern machine learning, plus we talk with Jake Abernethy of the University of Michigan about municipal data and his work on the Flint water crisis. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jul 21, 2016•38 min
In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) we take a listener question about statistical physics, plus we talk with Hal Daume of the University of Maryland. (who is a great follow on Twitter.) See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jul 07, 2016•32 min
In episode twelve of season two, we talk about generative adversarial networks, we take a listener question about using machine learning to improve or create products, plus we talk with Iain Murray of the University of Edinburgh. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jun 16, 2016•49 min
In episode eleven of season two, we talk about the machine learning toolkit Spark, we take a listener question about the differences between NIPS and ICML conferences, plus we talk with Sinead Williamson of The University of Texas at Austin. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jun 02, 2016•39 min
In episode ten of season two, we talk about Computational Learning Theory and Probably Approximately Correct Learning originated by Professor Leslie Valiant of SEAS at Harvard, we take a listener question about generative systems, plus we talk with Aviv Regev, Chair of the Faculty and Director of the Klarman Cell Observatory and the Cell Circuits Program at the Broad Institute. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
May 19, 2016•41 min
In episode nine of season two, we talk about sparse coding, take a listener question about the next big demonstration for AI after AlphaGo. Plus we talk with Clement Farabet about MADBITS and the work he’s doing at Twitter Cortex. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
May 05, 2016•41 min
Recently Professor David MacKay passed away. We’ll spend this episode talking about his extensive body of work and its impacts. We’ll also talk with Philipp Hennig, a research group leader at the Max Planck Institute for Intelligent Systems, who trained in Professor MacKay’s group (with Ryan). See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Apr 21, 2016•53 min
Episode seven of season two is a little different than our usual episodes, Ryan and Katherine just returned from a conference where they got to talk with Neil Lawrence of the University of Sheffield about some of the larger issues surrounding machine learning and society. They discuss anthropomorphic intelligence, data ownership, and the ability to empathize. The entire episode is given over to this conversation in hopes that it will spur more discussion of these important issues as the field co...
Apr 08, 2016•48 min
In episode six of season two, we talk about how to build software for machine learning (and what the roadblocks are), we take a listener question about how to start exploring a new dataset, plus, we talk with Rob Tibshirani of Stanford University. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Mar 24, 2016•39 min
In episode five of Season two Ryan walks us through variational inference, we put some listener questions about Go and how to play it to Andy Okun, president of the American Go Association (who is in Seoul South Korea watching the Lee Sedol/AlphaGo games). Plus we hear from Suchi Saria of Johns Hopkins about applying machine learning to understanding health care data. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Mar 10, 2016•49 min
In episode four of season two, we talk about some of the major issues in AI safety, (and how they’re not really that different from the questions we ask whenever we create a new tool.) One place you can go for other opinions on AI safety is the Future of Life Institute. We take a listener question about time series and we talk with Nick Patterson of the Broad Institute about everything from ancient DNA to Alan Turing. If you're as excited about AlphaGo playing Lee Sedol at Nick is, you can get d...
Feb 25, 2016•49 min
In episode three of season two Ryan walks us through the Alpha Go results and takes a lister question about using Gaussian processes for classifications. Plus we talk with Michael Littman of Brown University about his work, robots, and making music videos. Also not to be missed, Michael’s appearance in the recent Turbotax ad! See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Feb 11, 2016•40 min
In episode two of season two Ryan introduces us to Gaussian processes, we take a listener question on K-means. Plus, we talk with Ilya Sutskever the director of research for OpenAI. (For more from Ilya, you can listen to our season one interview with him.) See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Jan 28, 2016•35 min
In episode one of season two, we celebrate the 10th anniversary of Women in Machine Learning (WiML) with its co-founder (and our guest host for this episode) Hanna Wallach of Microsoft Research. Hanna and Jenn Wortman Vaughan, who also helped to found the event, tell us how about how the 2015 event went. Lillian Lee (Cornell), Raia Hadsell (Google Deepmind), Been Kim (AI2/University of Washington), and Corinna Cortes (Google Research) gave invited talks at the 2015 event. WiML also released a di...
Jan 14, 2016•1 hr
In episode twenty four we talk with Ben Vigoda about his work in probabilistic programming (everything from his thesis, to his new company) Ryan talks about Tensor Flow and Autograd for Torch, some open source tools that have been recently releases. Plus we talk a listener question about the biggest thing in machine learning this year. This is the last episode in season one. We want to thanks all our wonderful listeners for supporting the show, asking us questions, and making season two possible...
Nov 22, 2015•41 min
In episode 23 we talk with David Mimno of Cornell University about his work in the digital humanities (and explore what machine learning can tell us about lady zombie ghosts and huge bodies of literature) Ryan introduces us to probabilistic programming and we take a listener question about knowledge transfer between math and machine learning. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Nov 05, 2015•48 min
In episode twenty two we talk with Adam Kalai of Microsoft Research New England about his work using crowdsourcing in Machine Learning, the language made of shapes of words, and New England Machine Learning Day. We take a look at the workshops being presented at NIPS this year, and we take a listener question about changing the number of features your data has. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Oct 22, 2015•48 min
In episode twenty one we talk with Quaid Morris of the University of Toronto, who is using machine learning to find a better way to treat cancers. Ryan introduces us to expectation maximization and we take a listener question about how to master machine learning. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information....
Oct 08, 2015•27 min
