Learning Representations for Visual Search with Naila Murray – TWiML Talk #190

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. Naila presented at the Indaba on computer vision, and in this discussion we explore her work…

Evaluating Model Explainability Methods with Sara Hooker – TWiML Talk #189

In this, the first episode of the Deep Learning Indaba series, we’re joined by Sara Hooker, AI Resident at Google Brain. I had the pleasure of speaking with Sara in the run-up to the Indaba about her work on interpretability in deep neural networks. We…

TWiML & AI x Fast.ai Fall Study Group – Session 2b – October 6, 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our Fast.ai x TWiML Online Study Group. In this session, we review lesson two, Convolutional Neural Nets. Topics covered include: • Learning Rate (LR) • Data Augmentation • Stochastic Gradient Descent (SGD) with…

TWiML & AI x Fast.ai Fall Study Group – Session 2a – September 29, 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our Fast.ai x TWiML Online Study Group. In this session, we review lesson two, Convolutional Neural Nets. Topics covered include: • Learning Rate (LR) • Data Augmentation • Stochastic Gradient Descent (SGD) with…

Graph Analytic Models with Zachary Hanif – TWiML Talk #188

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. Zach led a session at Strata called “Network effects: Working with modern graph analytic systems,” which we had…

Relevancy and Redundancy of Features – EMEA Meetup #2 – October 2018

**SUBSCRIBE AND TURN ON NOTIFICATIONS** **twimlai.com** This video is a recap of our October 2018 EMEA TWiML Online Meetup. In this month’s community segment we discuss the upcoming topics for the EMEA meetup group, along with our ongoing and upcoming Fast.AI study groups. We take…

Diversification in Recommender Systems with Ahsan Ashraf – TWiML Talk #187

In this episode of our Strata Data conference series, we’re joined by Ahsan Ashraf, data scientist at Pinterest. In our conversation, Ahsan and I discuss his presentation from the conference, “Diversification in recommender systems: Using topical variety to increase user satisfaction.” We cover the experiments…

The Fastai v1 Deep Learning Framework with Jeremy Howard – TWiML Talk #186

In today’s episode we’ll be taking a break from our Strata Data conference series and presenting a special conversation with Jeremy Howard, founder and researcher at Fast.ai. Fast.ai is a company many of our listeners are quite familiar with due to their popular deep learning…

Federated ML for Edge Applications with Justin Norman – TWiML Talk #185

In this episode of our Strata Data conference series, we’re joined by Justin Norman, Director of Research and Data Science Services at Cloudera Fast Forward Labs. Fast Forward Labs was an Applied AI research firm and consultancy founded by Hilary Mason, who’s TWiML Talk episode…

Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva – TWiML Talk #184

In today’s episode of our Strata Data series, we’re joined by Viviana Acquaviva, Associate Professor at City Tech, the New York City College of Technology. Viviana led a tutorial at the conference, titled “Learning Machine Learning using Astronomy data sets.” In our conversation, we begin…