Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
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. For the complete show notes, visit https://twimlai.com/talk/200.
15 Nov 201847min
Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199
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.
12 Nov 201849min
Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198
In this episode of our AI Platforms series, we’re joined by Atul Kale, Engineering Manager on the machine learning infrastructure team at Airbnb. 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.
8 Nov 201849min
Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197
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.
6 Nov 201838min
Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196
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.
1 Nov 201843min
Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195
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.
29 Okt 20181h 1min
Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194
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.
25 Okt 201850min
Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193
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. 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.
23 Okt 201846min
