AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba – TWiML Talk #192

In this episode of our Deep Learning Indaba Series, we’re joined by Osonde Osoba, Engineer at RAND Corporation and Professor at the Pardee RAND Graduate School. Osonde and I spoke on the heels of the Indaba, where he presented on AI Ethics and Policy. We…

Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper – TWiML Talk #191

In this episode of our Deep Learning Indaba Series, we’re joined by Herman Kamper, Lecturer in the electrical and electronics engineering department at Stellenbosch University in SA and a co-organizer of the Indaba. Herman and I discuss his work on limited- and zero-resource speech recognition,…

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…

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…

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…

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…

Document Vectors in the Wild with James Driess – TWiML Talk #183

In this episode of our Strata Data series we’re joined by James Dreiss, Senior Data Scientist at international news syndicate Reuters. James and I sat down to discuss his talk from the conference “Document vectors in the wild, building a content recommendation system,” in which…

Applied Machine Learning for Publishers with Naveed Ahmad – TWiML Talk #182

In today’s episode we’re joined by Naveed Ahmad, Senior Director of data engineering and machine learning at Hearst Newspapers. A few months ago, Naveed gave a talk at the Google Cloud Next Conference on “How Publishers Can Take Advantage of Machine Learning.” In our conversation,…