Machine Learning Street Talk (MLST)
En podkast av Machine Learning Street Talk (MLST)
Kategorier:
209 Episoder
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Jordan Edwards: ML Engineering and DevOps on AzureML
Publisert: 3.6.2020 -
One Shot and Metric Learning - Quadruplet Loss (Machine Learning Dojo)
Publisert: 2.6.2020 -
Harri Valpola: System 2 AI and Planning in Model-Based Reinforcement Learning
Publisert: 25.5.2020 -
ICLR 2020: Yoshua Bengio and the Nature of Consciousness
Publisert: 22.5.2020 -
ICLR 2020: Yann LeCun and Energy-Based Models
Publisert: 19.5.2020 -
The Lottery Ticket Hypothesis with Jonathan Frankle
Publisert: 19.5.2020 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Publisert: 19.5.2020 -
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Publisert: 2.5.2020 -
Exploring Open-Ended Algorithms: POET
Publisert: 24.4.2020
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
