The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Dissecting the Controversy around OpenAI's New Language Model - TWiML Talk #234
25 februari 2019 · 1 uur 5 min
In the inaugural TWiML Live, Sam Charrington is joined by Amanda Askell (OpenAI), Anima Anandkumar (NVIDIA/CalTech), Miles Brundage (OpenAI), Robert Munro (Lilt), and Stephen Merity to discuss the controversial recent release of the OpenAI GPT-2 Language Model. Lees meer
We cover the basics like what language models are and why they’re important, and why this announcement caused such a stir, and dig deep into why the lack of a full release of the model raised concerns for so many.
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Human-Centered Design with Mira Lane - TWiML Talk #233
22 februari 2019 · 47 min
Today we present the final episode in our AI for the Benefit of Society series, in which we’re joined by Mira Lane, Partner Director for Ethics and Society at Microsoft. Lees meer
Mira and I focus our conversation on the role of culture and human-centered design in AI. We discuss how Mira defines human-centered design, its connections to culture and responsible innovation, and how these ideas can be scalably implemented across large engineering organizations.
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Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232
19 februari 2019 · 49 min
Today we’re joined by Hanna Wallach, a Principal Researcher at Microsoft Research. Lees meer
Hanna and I really dig into how bias and a lack of interpretability and transparency show up across ML. We discuss the role that human biases, even those that are inadvertent, play in tainting data, and whether deployment of “fair” ML models can actually be achieved in practice, and much more. Hanna points us to a TON of resources to further explore the topic of fairness in ML, which you’ll find at twimlai.com/talk
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AI for Healthcare with Peter Lee - TWiML Talk #231
18 februari 2019 · 57 min
In this episode, we’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met back at Microsoft Ignite, where he gave me some really interesting takes on AI development in China, which is linked in the show notes. This conversation centers around impact areas Peter sees for AI in healthcare, namely diagnostics and therapeutics, tools, and the future of precision medicine. Lees meer
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An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230
11 februari 2019 · 46 min
Today, we're joined by Justice Amoh Jr., a Ph.D. student at Dartmouth’s Thayer School of Engineering. Lees meer
Justice presented his work on “An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection.” In our conversation, we discuss his goal of bringing low cost, high-efficiency wearables to market for monitoring asthma. We explore the challenges of using classical machine learning models on microcontrollers, and how he went about developing models optimized for constrained hardware environm
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Pathologies of Neural Models and Interpretability with Alvin Grissom II - TWiML Talk #229
11 februari 2019 · 33 min
Today, we continue our Black in AI series with Alvin Grissom II, Assistant Professor of Computer Science at Ursinus College. In our conversation, we dive into the paper he presented at the workshop, “Pathologies of Neural Models Make Interpretations Difficult.” We talk through some of the “pathological behaviors” he identified in the paper, how we can better understand the overconfidence of trained deep learning models in certain settings, and how we can improve model training with entropy regulariz Lees meer
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AI for Earth with Lucas Joppa - TWiML Talk #228
8 februari 2019 · 56 min
Today we’re joined by Lucas Joppa, Chief Environmental Officer at Microsoft and Zach Parisa, Co-founder and president of Silvia Terra, a Microsoft AI for Earth grantee. Lees meer
In our conversation, we explore the ways that ML & AI can be used to advance our understanding of forests and other ecosystems, supporting conservation efforts. We discuss how Silvia Terra uses computer vision and data from a wide array of sensors, combined with AI, to yield more detailed estimates of the various species in our forests.
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AI for Accessibility with Wendy Chisholm - TWiML Talk #227
6 februari 2019 · 50 min
Today we’re joined by Wendy Chisholm, a principal accessibility architect at Microsoft, and one of the chief proponents of the AI for Accessibility program, which extends grants to AI-powered accessibility projects the areas of Employment, Daily Life, and Communication & Connection. In our conversation, we discuss the intersection of AI and accessibility, the lasting impact that innovation in AI can have for people with disabilities and society as a whole, and the importance of projects in this area. Lees meer
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AI for Humanitarian Action with Justin Spelhaug - TWiML Talk #226
4 februari 2019 · 59 min
Today we're joined by Justin Spelhaug, General Manager of Technology for Social Impact at Microsoft. Lees meer
In our conversation, we discuss the company’s efforts in AI for Humanitarian Action, covering Microsoft’s overall approach to technology for social impact, how his group helps mission-driven organizations best leverage technologies like AI, and how AI is being used at places like the World Bank, Operation Smile, and Mission Measurement to create greater impact.
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Teaching AI to Preschoolers with Randi Williams - TWiML Talk #225
31 januari 2019 · 44 min
Today, in the first episode of our Black in AI series, we’re joined by Randi Williams, PhD student at the MIT Media Lab. Lees meer
At the Black in AI workshop Randi presented her research on Popbots: A Early Childhood AI Curriculum, which is geared towards teaching preschoolers the fundamentals of artificial intelligence. In our conversation, we discuss the origins of the project, the three AI concepts that are taught in the program, and the goals that Randi hopes to accomplish with her work.
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Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
28 januari 2019 · 48 min
Today we’re joined by Tim Jurka, Head of Feed AI at LinkedIn. In our conversation, Tim describes the holistic optimization of the feed and we discuss some of the interesting technical and business challenges associated with trying to do this. We talk through some of the specific techniques used at LinkedIn like Multi-arm Bandits and Content Embeddings, and also jump into a really interesting discussion about organizing for machine learning at scale. Lees meer
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AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223
24 januari 2019 · 51 min
Today we’re joined by Gary Brotman, Senior Director of Product Management at Qualcomm Technologies, Inc. Lees meer
Gary, who got his start in AI through music, now leads strategy and product planning for the company’s AI and ML technologies, including those that make up the Qualcomm Snapdragon mobile platforms. In our conversation, we discuss AI on mobile devices and at the edge, including popular use cases, and explore some of the various acceleration technologies offered by Qualcomm and others that enable th
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AI Innovation at CES - TWiML Talk #222
21 januari 2019 · 2 min
A few weeks ago, I made the trek to Las Vegas for the world’s biggest electronics conference, CES. In this special visual only episode, we’re going to check out some of the interesting examples of machine learning and AI that I found at the event. Lees meer
Check out the video at https://twimlai.com/ces2019, and be sure to hit the like and subscribe buttons and let us know how you like the show via a comment!
For the show notes, visit https://twimlai.com/talk/222.
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Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
17 januari 2019 · 46 min
Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral, a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-time machine learning. In our conversation, we explore how the system works, how it was developed, and how infrastructure teams at Facebook can use it to replace hand-tuned parameters set using heuristics with services that automatically optimize themselves in minutes rather than in weeks. Lees meer
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Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
14 januari 2019 · 35 min
Today we’re joined by JJ Espinoza, former Director of Data Science at 20th Century Fox. Lees meer
In this talk we dig into JJ and his team’s experience building and deploying a content recommendation system from the ground up. In our conversation, we explore the design of a couple of key components of their system, the first of which processes movie scripts to make recommendations about which movies the studio should make, and the second processes trailers to determine which should be recommended to users.
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Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219
10 januari 2019 · 47 min
Today we’re joined by Solon Barocas, Assistant Professor of Information Science at Cornell University. Lees meer
Solon and I caught up to discuss his work on model interpretability and the legal and policy implications of the use of machine learning models. In our conversation, we explore the gap between law, policy, and ML, and how to build the bridge between them, including formalizing ethical frameworks for machine learning. We also look at his paper ”The Intuitive Appeal of Explainable Machines.”
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Trends in Computer Vision with Siddha Ganju - TWiML Talk #218
7 januari 2019 · 33 min
In the final episode of our AI Rewind series, we’re excited to have Siddha Ganju back on the show. Lees meer
Siddha, who is now an autonomous vehicles solutions architect at Nvidia shares her thoughts on trends in Computer Vision in 2018 and beyond. We cover her favorite CV papers of the year in areas such as neural architecture search, learning from simulation, application of CV to augmented reality, and more, as well as a bevy of tools and open source projects.
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Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217
3 januari 2019 · 52 min
In this episode of our AI Rewind series, we introduce a new friend of the show, Simon Osindero, Staff Research Scientist at DeepMind. Lees meer
We discuss trends in Deep Reinforcement Learning in 2018 and beyond. We’ve packed a bunch into this show, as Simon walks us through many of the important papers and developments seen this year in areas like Imitation Learning, Unsupervised RL, Meta-learning, and more.
The complete show notes for this episode can be found at https://twimlai.com/talk/217.
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Trends in Natural Language Processing with Sebastian Ruder - TWiML Talk #216
31 december 2018 · 53 min
In this episode of our AI Rewind series, we’ve brought back recent guest Sebastian Ruder, PhD Student at the National University of Ireland and Research Scientist at Aylien, to discuss trends in Natural Language Processing in 2018 and beyond. Lees meer
In our conversation we cover a bunch of interesting papers spanning topics such as pre-trained language models, common sense inference datasets and large document reasoning and more, and talk through Sebastian’s predictions for the new year.
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Trends in Machine Learning with Anima Anandkumar - TWiML Talk #215
27 december 2018 · 51 min
In this episode of our AI Rewind series, we’re back with Anima Anandkumar, Bren Professor at Caltech and now Director of Machine Learning Research at NVIDIA. Lees meer
Anima joins us to discuss her take on trends in the broader Machine Learning field in 2018 and beyond. In our conversation, we cover not only technical breakthroughs in the field but also those around inclusivity and diversity.
For this episode's complete show notes, visit twimlai.com/talk/215.
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Trends in Deep Learning with Jeremy Howard - TWiML Talk #214
24 december 2018 · 1 uur 8 min
In this episode of our AI Rewind series, we’re bringing back one of your favorite guests of the year, Jeremy Howard, founder and researcher at Fast.ai. Lees meer
Jeremy joins us to discuss trends in Deep Learning in 2018 and beyond. We cover many of the papers, tools and techniques that have contributed to making deep learning more accessible than ever to so many developers and data scientists.
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Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213
20 december 2018 · 55 min
Today we close out both our NeurIPS series joined by Nando de Freitas, Team Lead & Principal Scientist at Deepmind. In our conversation, we explore his interest in understanding the brain and working towards artificial general intelligence. In particular, we dig into a couple of his team’s NeurIPS papers: “Playing hard exploration games by watching YouTube,” and “One-Shot high-fidelity imitation: Training large-scale deep nets with RL.” Lees meer
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Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212
20 december 2018 · 23 min
Today we’re joined by David Spiegelhalter, Chair of Winton Center for Risk and Evidence Communication at Cambridge University and President of the Royal Statistical Society. David, an invited speaker at NeurIPS, presented on “Making Algorithms Trustworthy: What Can Statistical Science Contribute to Transparency, Explanation and Validation?”. In our conversation, we explore the nuanced difference between being trusted and being trustworthy, and its implications for those building AI systems. Lees meer
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Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211
18 december 2018 · 56 min
Today we’re joined by Kunle Olukotun, Professor in the department of EE and CS at Stanford University, and Chief Technologist at Sambanova Systems. Kunle was an invited speaker at NeurIPS this year, presenting on “Designing Computer Systems for Software 2.0.” In our conversation, we discuss various aspects of designing hardware systems for machine and deep learning, touching on multicore processor design, domain specific languages, and graph-based hardware. This was a fun one! Lees meer
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Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210
14 december 2018 · 54 min
Today we conclude our Trust in AI series with this conversation with Kathryn Hume, VP of Strategy at Integrate AI. We discuss her newly released white paper “Responsible AI in the Consumer Enterprise,” which details a framework for ethical AI deployment in e-commerce companies and other consumer-facing enterprises. We look at the structure of the ethical framework she proposes, and some of the many questions that need to be considered when deploying AI in an ethical manner. Lees meer
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Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209
12 december 2018 · 46 min
Today we continue our exploration of Trust in AI with this interview with Richard Zemel, Professor in the department of Computer Science at the University of Toronto and Research Director at Vector Institute. Lees meer
In our conversation, Rich describes some of his work on fairness in machine learning algorithms, including how he defines both group and individual fairness and his group’s recent NeurIPS poster, “Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer.”
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Trust and AI with Parinaz Sobhani - TWiML Talk #208
11 december 2018 · 46 min
In today’s episode we’re joined by Parinaz Sobhani, Director of Machine Learning at Georgian Partners. Lees meer
In our conversation, Parinaz and I discuss some of the main issues falling under the “trust” umbrella, such as transparency, fairness and accountability. We also explore some of the trust-related projects she and her team at Georgian are working on, as well as some of the interesting trust and privacy papers coming out of the NeurIPS conference.
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Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207
7 december 2018 · 41 min
In the final episode of our re:Invent series, we're joined by Thorsten Joachims, Professor in the Department of Computer Science at Cornell University. We discuss his presentation “Unbiased Learning from Biased User Feedback,” looking at some of the inherent and introduced biases in recommender systems, and the ways to avoid them. We also discuss how inference techniques can be used to make learning algorithms more robust to bias, and how these can be enabled with the correct type of logging policies. Lees meer
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Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206
5 december 2018 · 48 min
Today we’re joined by Jinho Choi, assistant professor of computer science at Emory University. Lees meer
Jinho presented at the conference on ELIT, their cloud-based NLP platform. In our conversation, we discuss some of the key NLP challenges that Jinho and his group are tackling, including language parsing and character mining. We also discuss their vision for ELIT, which is to make it easy for researchers to develop, access, and deploying cutting-edge NLP tools models on the cloud.
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re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici - TWiML Talk #205
3 december 2018 · 1 uur 8 min
I’m excited to present our second annual re:Invent Roundtable Roundup. This year I’m joined by Dave McCrory, VP of Software Engineering at Wise.io at GE Digital, and Val Bercovici, Founder and CEO of Pencil Data. If you missed the news coming out of re:Invent, we cover all of AWS’ most important ML and AI announcements, including SageMaker Ground Truth, Reinforcement Learning, DeepRacer, Inferentia and Elastic Inference, ML Marketplace and much more. Lees meer
For the show notes visit https://twimlai.com/ta
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Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204
30 november 2018 · 47 min
Today we’re joined by Marisa Boston, Director of Cognitive Technology in KPMG’s Cognitive Automation Lab. We caught up to discuss some of the ways that KPMG is using AI to build tools that help augment the knowledge of their teams of professionals. We discuss knowledge graphs and how they can be used to map out and relate various concepts and how they use these in conjunction with NLP tools to create insight engines. We also look at tools that curate and contextualize news and other text-based data sour Lees meer
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ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203
26 november 2018 · 58 min
Today, we’re joined by Stuart Reid, Chief Scientist at NMRQL Research. Lees meer
NMRQL is an investment management firm that uses ML algorithms to make adaptive, unbiased, scalable, and testable trading decisions for its funds. In our conversation, Stuart and I dig into the way NMRQL uses ML and DL models to support the firm’s investment decisions. We focus on techniques for modeling non-stationary time-series, stationary vs non-stationary time-series, and challenges of building models using financial data.
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Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202
21 november 2018 · 45 min
In this episode of our AI Platforms series, we’re joined by Daniel Jeavons, General Manager of Data Science at Shell. Lees meer
In our conversation, we explore the evolution of analytics and data science at Shell, discussing IoT-related applications and issues, such as inference at the edge, federated ML, and digital twins, all key considerations for the way they apply ML. We also talk about the data science process at Shell and the importance of platform technologies to the company as a whole.
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Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201
19 november 2018 · 48 min
In this episode of our AI Platforms series, we’re joined by Leemay Nassery, Senior Engineering Manager and head of the recommendations team at Comcast. In our conversation, Leemay and I discuss just how she and her team resurrected the Xfinity X1 recommendations platform, including the rebuilding the data pipeline, the machine learning process, and the deployment and training of their updated models. We also touch on the importance of A-B testing and maintaining their rebuilt infrastructure. Lees meer
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Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
15 november 2018 · 48 min
In this episode of our AI Platforms series, we’re joined by Bee-Chung Chen, Principal Staff Engineer and Applied Researcher at LinkedIn. Bee-Chung and I caught up to discuss LinkedIn’s internal AI automation platform, Pro-ML. Bee-Chung breaks down some of the major pieces of the pipeline, LinkedIn’s experience bringing Pro-ML to the company's developers and the role the LinkedIn AI Academy plays in helping them get up to speed. Lees meer
For the complete show notes, visit https://twimlai.com/talk/200.
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Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199
12 november 2018 · 50 min
In this episode of our AI Platforms series we’re joined by OpenAI’s Head of Infrastructure, Christopher Berner. In our conversation, we discuss the evolution of OpenAI’s deep learning platform, the core principles which have guided that evolution, and its current architecture. We dig deep into their use of Kubernetes and discuss various ecosystem players and projects that support running deep learning at scale on the open source project. Lees meer
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Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198
8 november 2018 · 50 min
In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. Lees meer
In our conversation, we discuss Airbnb’s internal machine learning platform, Bighead. Atul outlines the ML lifecycle at Airbnb and how the various components of Bighead support it. We then dig into the major components of Bighead, some of Atul’s best practices for scaling machine learning, and a special announcement that Atul and his team made at Strata.
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Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197
6 november 2018 · 39 min
In the kickoff episode of our AI Platforms series, we’re joined by Aditya Kalro, Engineering Manager at Facebook, to discuss their internal machine learning platform FBLearner Flow. FBLearner Flow is the workflow management platform at the heart of the Facebook ML engineering ecosystem. We discuss the history and development of the platform, as well as its functionality and its evolution from an initial focus on model training to supporting the entire ML lifecycle at Facebook. Lees meer
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Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196
1 november 2018 · 44 min
In this episode we’re joined by Nina Miolane, researcher and lecturer at Stanford University. Nina and I spoke about her work in the field of geometric statistics in ML, specifically the application of Riemannian geometry, which is the study of curved surfaces, to ML. In our discussion we review the differences between Riemannian and Euclidean geometry in theory and her new Geomstats project, which is a python package that simplifies computations and statistics on manifolds with geometric structures. Lees meer
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Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195
29 oktober 2018 · 1 uur 1 min
In this episode, we’re joined by Sebastian Ruder, PhD student studying NLP at National University of Ireland and Research Scientist at text analysis startup Aylien. We discuss recent milestones in neural NLP, including multi-task learning and pretrained language models. We also look at the use of attention-based models, Tree RNNs and LSTMs, and memory-based networks. Finally, Sebastian walks us through his ULMFit paper, which he co-authored with Jeremy Howard of fast.ai who I interviewed in episode 186. Lees meer
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Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194
25 oktober 2018 · 51 min
In this episode, we’re joined by Garrett Hoffman, Director of Data Science at Stocktwits. Stocktwits is a social network for the investing community which has its roots in the use of the $cashtag on Twitter. In our conversation, we discuss applications such as Stocktwits’ own use of “social sentiment graphs” built on multilayer LSTM networks to gauge community sentiment about certain stocks in real time, as well as the more general use of natural language processing for generating trading ideas. Lees meer
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Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193
23 oktober 2018 · 47 min
In the final episode of our Deep Learning Indaba series, we speak with Vukosi Marivate, Chair of Data Science at the University of Pretoria and a co-organizer of the Indaba. Lees meer
My conversation with Vukosi falls into two distinct parts, his PhD research in reinforcement learning, and his current research, which falls under the banner of data science with social impact. We discuss several advanced RL scenarios, along with several applications he is currently exploring in areas like public safety and energy.
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AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192
18 oktober 2018 · 47 min
In this episode of our Deep Learning Indaba Series, we’re joined by Osonde Osoba, Engineer at RAND Corporation. Lees meer
Osonde and I spoke on the heels of the Indaba, where he presented on AI Ethics and Policy. We discuss his framework-based approach for evaluating ethical issues and how to build an intuition for where ethical flashpoints may exist in these discussions. We also discuss Osonde’s own model development research, including the application of machine learning to strategic decisions and game theor
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Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191
16 oktober 2018 · 1 uur 1 min
In this episode of our Deep Learning Indaba Series, we’re joined by Herman Kamper, lecturer at Stellenbosch University in SA and a co-organizer of the Indaba. Lees meer
We discuss his work on limited- and zero-resource speech recognition, how those differ from regular speech recognition, and the tension between linguistic and statistical methods in this space. We also dive into the specifics of the methods being used and developed in Herman’s lab.
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Learning Representations for Visual Search with Naila Murray - TWiML Talk #190
12 oktober 2018 · 42 min
In this episode of our Deep Learning Indaba series, we’re joined by Naila Murray, Senior Research Scientist and Group Lead in the computer vision group at Naver Labs Europe. Lees meer
Naila presented at the Indaba on computer vision. In this discussion, we explore her work on visual attention, including why visual attention is important and the trajectory of work in the field over time. We also discuss her paper “Generalized Max Pooling,” and much more!
For the complete show notes, visit twimlai.com/tal
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Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189
10 oktober 2018 · 1 uur 4 min
In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I spoke with Sara in the run-up to the Indaba about her work on interpretability in deep neural networks. We discuss what interpretability means and nuances like the distinction between interpreting model decisions vs model function. We also talk about the relationship between Google Brain and the rest of the Google AI landscape and the significance of the Google AI Lab in Accra, Ghana. Lees meer
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Graph Analytic Systems with Zachary Hanif - TWiML Talk #188
8 oktober 2018 · 54 min
In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. Lees meer
We start our discussion with a look at the role of graph analytics in the ML toolkit, including some important application areas for graph-based systems. Zach gives us an overview of the different ways to implement graph analytics, including what he calls graphical processing engines which excel at handling large datasets, & much m
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Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187
4 oktober 2018 · 45 min
In this episode of our Strata Data conference series, we’re joined by Ahsan Ashraf, data scientist at Pinterest. We discuss his presentation, “Diversification in recommender systems: Using topical variety to increase user satisfaction,” covering the experiments his team ran to explore the impact of diversification in user’s boards, the methodology his team used to incorporate variety into the Pinterest recommendation system and much more! Lees meer
The show notes can be found at https://twimlai.com/talk/18
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The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186
2 oktober 2018 · 1 uur 11 min
In today's episode we're presenting a special conversation with Jeremy Howard, founder and researcher at Fast.ai. This episode is being released today in conjunction with the company’s announcement of version 1.0 of their fastai library at the inaugural Pytorch Devcon in San Francisco. Lees meer
In our conversation, we dive into the new library, exploring why it’s important and what’s changed, the unique way in which it was developed, what it means for the future of the fast.ai courses, and much more!
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Federated ML for Edge Applications with Justin Norman - TWiML Talk #185
27 september 2018 · 48 min
In this episode we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. In my chat with Justin we start with an update on the company before diving into a look at some of recent and upcoming research projects. Specifically, we discuss their recent report on Multi-Task Learning and their upcoming research into Federated Machine Learning for AI at the edge. Lees meer
For the complete show notes, visit https://twimlai.com/talk/185.