754 Folgen

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

    Vom: 16.1.2020

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

    Vom: 13.1.2020

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

    Vom: 9.1.2020

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

    Vom: 6.1.2020

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

    Vom: 2.1.2020

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

    Vom: 30.12.2019

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

    Vom: 27.12.2019

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

    Vom: 26.12.2019

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

    Vom: 24.12.2019

  10. How to Know with Celeste Kidd - #330

    Vom: 23.12.2019

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

    Vom: 20.12.2019

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

    Vom: 19.12.2019

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

    Vom: 17.12.2019

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

    Vom: 13.12.2019

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

    Vom: 12.12.2019

  16. Automated Model Tuning with SigOpt - #324

    Vom: 9.12.2019

  17. Automated Machine Learning with Erez Barak - #323

    Vom: 6.12.2019

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

    Vom: 4.12.2019

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

    Vom: 2.12.2019

  20. DevOps for ML with Dotscience - #320

    Vom: 26.11.2019

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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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