In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner <a href="https://rabbilaura.org/" rel="nofollow" target="_blank">Rabbi Laura Janner-Klausner </a>to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show <a href="https://www.littmania.com/" rel="nofollow" target="_blank">professor Michael Littman</a>. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Gods and Robots

On this episode we feature an interview with Madhulika Shrikumar of the Partnership on AI about their recent work Managing Risk and Responsible PublicationSee omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

On this episode we feature an interview with <a href="https://www.partnershiponai.org/team/madhulika-srikumar/" rel="nofollow" target="_blank">Madhulika Shrikumar of the Partnership on AI </a>about their recent work <a href="https://www.partnershiponai.org/wp-content/uploads/2021/05/PAI-Managing-the-Risks-of-AI-Resesarch-Responsible-Publication.pdf" rel="nofollow" target="_blank">Managing Risk and Responsible Publication</a><a href="https://www.partnershiponai.org/team/madhulika-srikumar/" rel="nofollow" target="_blank"></a>See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Responsibility, Risk, and Publishing

Neil and Katherine chat about ICML and the timely award winner of this years test of time award! Bayesian Learning via Stochastic Gradient Langevin DynamicsSee omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

Neil and Katherine chat about ICML and the timely award winner of this years test of time award! <a href="https://dl.acm.org/doi/10.5555/3104482.3104568" rel="nofollow" target="_blank">Bayesian Learning via Stochastic Gradient Langevin Dynamics</a>See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

ICML 2021: Test of Time(ly) Award

Devin Guillory of UC Berkeley, is our guest on this episode. We talk about his love of robotics, working at the center of a new hype (learning with less labels) and his paper Combatting Anti-Blackness in the AI Community. He recently gave a talk on the subject the University of Toronto See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

<a href="http://www.devinguillory.com/" rel="nofollow" target="_blank">Devin Guillory of UC Berkeley</a>, is our guest on this episode. We talk about his love of robotics, working at the center of a new hype <a href="https://arxiv.org/search/cs?searchtype=author&amp;query=Guillory%2C+D" rel="nofollow" target="_blank">(learning with less labels)</a> and his paper <a href="http://www.devinguillory.com/files/AI_Anti_Blackness.pdf" rel="nofollow" target="_blank">Combatting Anti-Blackness in the AI Community</a>. <a href="https://ethics.utoronto.ca/events/devin-guillory-the-ethics-of-ai-in-context/" rel="nofollow" target="_blank">He recently gave a talk on the subject the University of Toronto</a> See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Learning with Less, Invisible Labor and Combating Anti-Blackness

We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the work in this field. We'd like to bring you meaningful conversations around those systems and how we can change them and ourselves.  We encourage everyone to explore the amazing work of Black in AI, Data Science Africa and Shut Down STEM. Take care of yourselves, take care of each other, and stay tuned.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the work in this field. We'd like to bring you meaningful conversations around those systems and how we can change them and ourselves.  We encourage everyone to explore the amazing work of Black in AI, Data Science Africa and Shut Down STEM.  Take care of yourselves, take care of each other, and stay tuned.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Let's Reflect

In this episode of Talking Machines we talk with Sella Nevo of Google Research about the Google Flood Forecasting Project, what they've been doing, and what is means to really move the needle on AI for Good. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Talking Machines we talk with <a href="https://research.google/people/SellaNevo/" rel="nofollow" target="_blank">Sella Nevo of Google Research</a> about the <a href="https://ai.googleblog.com/2019/09/an-inside-look-at-flood-forecasting.html" rel="nofollow" target="_blank">Google Flood Forecasting Project,</a> <a href="https://ai.googleblog.com/2019/09/an-inside-look-at-flood-forecasting.html" rel="nofollow" target="_blank">what they've</a> <a href="https://www.blog.google/technology/ai/tracking-our-progress-on-flood-forecasting/" rel="nofollow" target="_blank">been doing</a>, and what is means to really move the needle on AI for Good. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Predicting Floods and Really Doing Good

In episode eight of season six we talk with Alexander Rush and Shakir Mohamed about their work on ICLR this year which was first to take place in Ethiopia and then became totally virtual! See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode eight of season six we talk with <a href="http://rush-nlp.com/" rel="nofollow" target="_blank">Alexander Rush</a> and <a href="https://shakirm.com/" rel="nofollow" target="_blank">Shakir Mohamed</a> about their work on <a href="https://iclr.cc/" rel="nofollow" target="_blank">ICLR this year</a> which was first to take place in Ethiopia and then became totally virtual! See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

ICLR: accessible, inclusive, virtual

In episode seven of season six we talk with Michael Littman about his work in reinforcement learning, on scientific communication, and in the classroom. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode seven of season six we talk with Michael Littman about his work in reinforcement learning, on scientific communication, and in the classroom. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Humans in the Loop and Outside of the Classroom

In episode six of season six we chat with Professor Terry Sejnowski about his work, the evolution of the field, and the development of the NeurIPS conference. We taped this episode live and took questions from the audience. Want to join our "studio audience"? Check out @tlkngmchns on Twitter.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode six of season six we chat with <a href="https://www.salk.edu/scientist/terrence-sejnowski/" rel="nofollow" target="_blank">Professor Terry Sejnowski</a> about his work, the evolution of the field, and the development of the NeurIPS conference. We taped this episode live and took questions from the audience. Want to join our "studio audience"? <a href="https://twitter.com/tlkngmchns?lang=en" rel="nofollow" target="_blank">Check out @tlkngmchns on Twitter.</a>See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Evolution of ML  and Furry Little Animals

Episode five of season six is our first live episode! We talk with Elaine Nsoesie of Boston University about modeling disease and Covid 19 in the African context. plus we take listen questions live! Want to join our "studio audience" check out our twitter feed for how to sign up! See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

Episode five of season six is our first live episode! We talk with <a href="https://www.bu.edu/sph/profile/elaine-nsoesie/" rel="nofollow" target="_blank">Elaine Nsoesie</a> of Boston University about modeling disease and Covid 19 in the African context. plus we take listen questions live! Want to join our "studio audience" check out our twitter feed for how to sign up! See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Talking Machines Live and Understanding Modeling Viruses

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions.  Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what  to do with the answers. Hosted on Acast. See acast.com/privacy for more information.

This is the most in-depth podcast on machine learning to date.

Frequent Deep Dives

Gives insight not only to the new tech but the ideas behind machine learning and how it works.

Fantastic show

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Talking Machines

On episode three of Talking Machines we sit down with Kevin Murphy who is currently a research scientist at Google. We talk with him about the work he’s doing there on the Knowledge Vault, his textbook, Machine Learning: A Probabilistic Perspective (and its arch nemesis which we won’t link to), and how to learn about machine learning (Metacademy is a great place to start). We tackle a listener question about the dream of a one step solution to strong Artificial Intelligence and if Deep Neural Networks might be it. Plus, Ryan introduces us to a new way of thinking about questions in machine learning from Yoshua Bengio’s Lab at the University of Montreal out lined in their new paper, Identifying and attacking the saddle point problem in high-dimensional non-convex optimization, and Katherine brings up Facebook’s release of open source machine learning tools and we talk about what it might mean. If you want to explore some open source tools for machine learning we also recommend giving these a try:Super big list of ML Open Source Projects! Torch Gaussian Process Machine Learning ToolboxPyMCMalletStanWekaTheanoCaffeSpearmintSee omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

On episode three of Talking Machines we sit down with Kevin Murphy who is currently a research scientist at Google. We talk with him about the work he’s doing there on the Knowledge Vault, his textbook, Machine Learning: A Probabilistic Perspective (and its arch nemesis which we won’t link to), and how to learn about machine learning (Metacademy is a great place to start). We tackle a listener question about the dream of a one step solution to strong Artificial Intelligence and if Deep Neural Networks might be it. Plus, Ryan introduces us to a new way of thinking about questions in machine learning from Yoshua Bengio’s Lab at the University of Montreal out lined in their new paper, Identifying and attacking the saddle point problem in high-dimensional non-convex optimization, and Katherine brings up Facebook’s release of open source machine learning tools and we talk about what it might mean. If you want to explore some open source tools for machine learning we also recommend giving these a try:Super big list of ML Open Source Projects! Torch Gaussian Process Machine Learning ToolboxPyMCMalletStanWekaTheanoCaffeSpearmintSee <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Common Sense Problems and Learning about Machine Learning

Richard Zemel

See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Gaussian Processes, Grad School, and Richard Zemel

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 TedX Boston on Deep Learning.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In this episode as we prep for <a href="https://iclr.cc/" rel="nofollow" target="_blank">ICLR</a> we take a break from our usual format to bring you a talk from <a href="https://tedxboston.org/speaker/larochelle" rel="nofollow" target="_blank">Hugo LaRochelle at TedX Boston on Deep Learning</a>.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Deep End of Deep Learning

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. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode ten of season three we talk about the rate of change <a href="http://www.bbc.com/news/business-40673694" rel="nofollow" target="_blank">(prompted by Tim Harford)</a>, take a listener question about the power of kernels, and talk with <a href="https://royalsociety.org/people/peter-donnelly-11348/" rel="nofollow" target="_blank">Peter Donnelly</a> in his capacity with the <a href="https://royalsociety.org/about-us/committees/machine-learning-working-group/" rel="nofollow" target="_blank">Royal Society's Machine Learning Working Group</a> about the work they've done on the <a href="https://royalsociety.org/~/media/policy/projects/machine-learning/publications/machine-learning-report.pdf" rel="nofollow" target="_blank">public's views on AI and ML</a>. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Pace of Change and The Public View of ML

Eric Lander

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Eric Lander and Restricted Boltzmann Machines

In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast).See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast).See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Using Models in the Wild and Women in Machine Learning

In episode six of season four we chat about AI and religion, we take a listener question about personal bias checking and we hear from Been Kim of Google Brain. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode six of season four we chat about AI and religion, we take a listener question about personal bias checking and we hear from <a href="http://people.csail.mit.edu/beenkim/" rel="nofollow" target="_blank">Been Kim</a> of Google Brain. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Explainability and the Inexplicable

In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener question about best papers and chat with Dougal Maclaurin of Google Brain.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode two of season five we unpack the Bezos Paradox (TM Neil Lawrence) take a listener question about best papers and chat with <a href="https://dougalmaclaurin.com/" rel="nofollow" target="_blank">Dougal Maclaurin of Google Brain</a>.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Bezos Paradox and Machine Learning Languages

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, and of worth to you, we’re surveying our listeners. If you’d like to help us get a better idea of who makes up the Talking Machines community take the survey at http://podsurvey.com/MACHINES. See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

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 <a href="http://quinonero.net/" rel="nofollow" target="_blank">Joaquin Quiñonero Candela</a>. For a great place to get started with foundational ideas in ML, take a look at <a href="https://www.coursera.org/learn/machine-learning" rel="nofollow" target="_blank">Andrew Ng’s course on Coursera</a>. Then check out <a href="https://www.coursera.org/learn/probabilistic-graphical-models" rel="nofollow" target="_blank">Daphne Kohler’s course</a>. Talking Machines is now working with <a href="http://www.midroll.com/" rel="nofollow" target="_blank">Midroll</a> to source and organize sponsors for our show. In order find sponsors who are a good fit for us, and of worth to you, we’re surveying our listeners. If you’d like to help us get a better idea of who makes up the Talking Machines community take the survey at <a href="http://podsurvey.com/MACHINES" rel="nofollow" target="_blank">http://podsurvey.com/MACHINES</a>. See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Getting a Start in ML and Applied AI at Facebook

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 continues to grow.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

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 continues to grow.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Machine Learning and Society

In episode four of season five we talk about Jupyter Notebooks and Neil's dream of a world craft software and devices, we take a listener question about the conversation surrounding Open AI's GPT-2 its announcement and the coverage and we hear an interview with Brooks Paige of the Alan Turing InstiuteSee omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode four of season five we talk about<a href="https://jupyter.org/" rel="nofollow" target="_blank"> Jupyter Notebooks</a> and Neil's dream of a world craft software and devices, we take a listener question about <a href="https://twitter.com/deliprao/status/1097772902823251969" rel="nofollow" target="_blank">the conversation</a> surrounding <a href="https://blog.openai.com/better-language-models/" rel="nofollow" target="_blank">Open AI's GPT-2</a> i<a href="https://www.wired.com/story/ai-text-generator-too-dangerous-to-make-public/" rel="nofollow" target="_blank">ts announcement and the coverage</a> and we hear an interview with <a href="http://www.robots.ox.ac.uk/~brooks/" rel="nofollow" target="_blank">Brooks Paige of the Alan Turing Ins</a>tiuteSee <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Jupyter Notebooks and Modern Model Distribution

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

OpenAI and Gaussian Processes

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

ANGLICAN and Probabilistic Programming

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 actually read it, you move to expert level!) We take a listener question about the power of approximate inference, and we hear from our guest Andrew Blake of The Alan Turing Institute.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode five of season four we talk about the <a href="https://ec.europa.eu/info/law/law-topic/data-protection/data-protection-eu_en" rel="nofollow" target="_blank">GDPR</a> or as we like to think of it Good Data Practice Rules. <a href="http://eur-lex.europa.eu/legal-content/EN/LSU/?uri=uriserv:OJ.L_.2016.119.01.0001.01.ENG" rel="nofollow" target="_blank">(If you actually read it, you move to expert level!</a>) We take a listener question about the power of approximate inference, and we hear from our guest <a href="https://www.turing.ac.uk/ablake/" rel="nofollow" target="_blank">Andrew Blake</a> of <a href="https://www.turing.ac.uk/" rel="nofollow" target="_blank">The Alan Turing Institute</a>.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Good Data Practice Rules

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.

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 <a href="http://air.ug/~jquinn/" rel="nofollow" target="_blank">John Quinn</a> of the <a href="http://unglobalpulse.org/" rel="nofollow" target="_blank">United Nations Global Pulse</a> lab in Kampala, Uganda and <a href="http://mak.ac.ug/" rel="nofollow" target="_blank">Makerere University</a>'s <a href="http://air.ug/" rel="nofollow" target="_blank">Artificial Intelligence Research</a> group.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Long View and Learning in Person

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Spark and ICML

In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Department of Engineering at the University of Cambridge. His project, The Automatic Statistician, aims to use machine learning to take raw data and give you statistical reports and natural languages summaries of what trends that data shows. We get really hungry exploring Bayesian Non-parametrics through the stories of the Chinese Restaurant Process and the Indian Buffet Process (but remember, there’s no free lunch). Plus we take a listener question about how much we should rely on ourselves and our ideas about what intelligence in electrified meat looks like when we try to build machine intelligences.See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode seven of Talking Machines we talk with Zoubin Ghahramani, professor of Information Engineering in the Department of Engineering at the University of Cambridge. His project, The Automatic Statistician, aims to use machine learning to take raw data and give you statistical reports and natural languages summaries of what trends that data shows. We get really hungry exploring Bayesian Non-parametrics through the stories of the Chinese Restaurant Process and the Indian Buffet Process (but remember, there’s no free lunch). Plus we take a listener question about how much we should rely on ourselves and our ideas about what intelligence in electrified meat looks like when we try to build machine intelligences.See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

The Automatic Statistician and Electrified Meat

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Automatic Translation and t-SNE

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.

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 <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Fantasizing Cats and Data Numbers

In episode nine we talk with George Dahl, of  the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defended his thesis at the end of March 2015. (Congrats George!) We learn about how networks and graphs can help us understand latent properties of relationships, and we take a listener question about just how you find the right algorithm to solve a problem (Spoiler: start simple.)See omnystudio.com/listener for privacy information. Hosted on Acast. See acast.com/privacy for more information.

In episode nine we talk with George Dahl, of  the University of Toronto, about his work on the Merck molecular activity challenge on kaggle and speech recognition. George recently successfully defended his thesis at the end of March 2015. (Congrats George!) We learn about how networks and graphs can help us understand latent properties of relationships, and we take a listener question about just how you find the right algorithm to solve a problem (Spoiler: start simple.)See <a href="https://omnystudio.com/listener" rel="nofollow" target="_blank">omnystudio.com/listener</a> for privacy information. Hosted on Acast. See <a href="https://acast.com/privacy" rel="noopener noreferrer nofollow" target="_blank">acast.com/privacy</a> for more information.

Starting Simple and Machine Learning in Meds

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