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Sam Charrington
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data...
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Ratings & Reviews
4.8 stars from 515 ratings
Sam puts lot of attention to every episode. Information is high quality and easy to grasp.
rohitand via Apple Podcasts · United States of America · 11/30/20
Difficult to listen unless the guest really knows what he or she’s doing and doesn’t mind the host.
meredithhu via Apple Podcasts · United States of America · 11/29/20
Great interviewer
Sam's questions are so spot on. "That's an interesting question" is something you will hear guests say a lot.Read full review »
belsayc via Apple Podcasts · United States of America · 11/24/20
Recent Episodes
Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft.  Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of machine translation like...
Published 02/22/21
Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and...
Published 02/18/21
Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking about ethical and fairness issues in...
Published 02/15/21
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