754 Epizód

  1. Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339

    Közzétéve: 2020. 01. 16.

  2. Trends in Computer Vision with Amir Zamir - #338

    Közzétéve: 2020. 01. 13.

  3. Trends in Natural Language Processing with Nasrin Mostafazadeh - #337

    Közzétéve: 2020. 01. 09.

  4. Trends in Fairness and AI Ethics with Timnit Gebru - #336

    Közzétéve: 2020. 01. 06.

  5. Trends in Reinforcement Learning with Chelsea Finn - #335

    Közzétéve: 2020. 01. 02.

  6. Trends in Machine Learning & Deep Learning with Zack Lipton - #334

    Közzétéve: 2019. 12. 30.

  7. FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333

    Közzétéve: 2019. 12. 27.

  8. Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

    Közzétéve: 2019. 12. 26.

  9. Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

    Közzétéve: 2019. 12. 24.

  10. How to Know with Celeste Kidd - #330

    Közzétéve: 2019. 12. 23.

  11. Using Deep Learning to Predict Wildfires with Feng Yan - #329

    Közzétéve: 2019. 12. 20.

  12. Advancing Machine Learning at Capital One with Dave Castillo - #328

    Közzétéve: 2019. 12. 19.

  13. Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

    Közzétéve: 2019. 12. 17.

  14. Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

    Közzétéve: 2019. 12. 13.

  15. Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

    Közzétéve: 2019. 12. 12.

  16. Automated Model Tuning with SigOpt - #324

    Közzétéve: 2019. 12. 09.

  17. Automated Machine Learning with Erez Barak - #323

    Közzétéve: 2019. 12. 06.

  18. Responsible AI in Practice with Sarah Bird - #322

    Közzétéve: 2019. 12. 04.

  19. Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321

    Közzétéve: 2019. 12. 02.

  20. DevOps for ML with Dotscience - #320

    Közzétéve: 2019. 11. 26.

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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. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.

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