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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Oct 29, 2018

In this episode, we’re joined by Sebastian Ruder, a PhD student studying natural language processing at the National University of Ireland and a Research Scientist at text analysis startup Aylien.

In our conversation, Sebastian and I discuss recent milestones in neural NLP, including multi-task learning and...


Oct 25, 2018

In this episode, we’re joined by Garrett Hoffman, Director of Data Science at Stocktwits.

Garrett and I caught up at last month’s Strata Data conference, where he presented a tutorial on “Deep Learning Methods for NLP with Emphasis on Financial Services.” Stocktwits is a social network for the investing...


Oct 23, 2018

In this, the final show 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 fell into two distinct parts. The first part focused on his PhD research in the area of reinforcement learning,...


Oct 18, 2018

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 discuss his framework-based approach for evaluating ethical...


Oct 16, 2018

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, how those differ from...