281 Odcinki

  1. An open source platform for training deep learning models

    Opublikowany: 30.04.2020
  2. Algorithms that continually invent both problems and solutions

    Opublikowany: 23.04.2020
  3. Computational Models and Simulations of Epidemic Infectious Diseases

    Opublikowany: 16.04.2020
  4. Human-in-the-loop machine learning

    Opublikowany: 9.04.2020
  5. Next-generation simulation software will incorporate deep reinforcement learning

    Opublikowany: 2.04.2020
  6. Business at the speed of AI: Lessons from Shopify

    Opublikowany: 26.03.2020
  7. How deep learning is being used in search and information retrieval

    Opublikowany: 19.03.2020
  8. The responsible development, deployment and operation of machine learning systems

    Opublikowany: 12.03.2020
  9. Hyperscaling natural language processing

    Opublikowany: 5.03.2020
  10. What businesses need to know about model explainability

    Opublikowany: 27.02.2020
  11. Scalable Machine Learning, Scalable Python, For Everyone

    Opublikowany: 20.02.2020
  12. Computational humanness, analogy and innovation, and soft concepts

    Opublikowany: 13.02.2020
  13. Building domain specific natural language applications

    Opublikowany: 6.02.2020
  14. The state of privacy-preserving machine learning

    Opublikowany: 30.01.2020
  15. Taking messaging and data ingestion systems to the next level

    Opublikowany: 23.01.2020
  16. Business at the speed of AI: Lessons from Rakuten

    Opublikowany: 16.01.2020
  17. The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks

    Opublikowany: 9.01.2020
  18. Key AI and Data Trends for 2020

    Opublikowany: 26.12.2019
  19. The evolution of TensorFlow and of machine learning infrastructure

    Opublikowany: 12.12.2019
  20. Building large-scale, real-time computer vision applications

    Opublikowany: 26.11.2019

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A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].

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