281 Avsnitt

  1. Connecting Reinforcement Learning to Simulation Software

    Publicerades: 2020-09-17

  2. Using machine learning to detect shifts in government policy

    Publicerades: 2020-09-10

  3. What is AI Assurance?

    Publicerades: 2020-09-03

  4. Best practices for building conversational AI applications

    Publicerades: 2020-08-27

  5. Tools for scaling machine learning

    Publicerades: 2020-08-20

  6. From Python beginner to seasoned software engineer

    Publicerades: 2020-08-13

  7. Assessing Models and Simulations of Epidemic Infectious Diseases

    Publicerades: 2020-08-06

  8. Improving the hiring pipeline for software engineers

    Publicerades: 2020-07-30

  9. How to build state-of-the-art chatbots

    Publicerades: 2020-07-23

  10. Democratizing machine learning

    Publicerades: 2020-07-16

  11. How graph technologies are being used to solve complex business problems

    Publicerades: 2020-07-09

  12. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

    Publicerades: 2020-07-02

  13. Designing machine learning models for both consumer and industrial applications

    Publicerades: 2020-06-25

  14. Building open source developer tools for language applications

    Publicerades: 2020-06-18

  15. Viewing machine learning and data science applications as sociotechnical systems

    Publicerades: 2020-06-11

  16. Identifying and mitigating liabilities and risks associated with AI

    Publicerades: 2020-06-04

  17. How machine learning is being used in quantitative finance

    Publicerades: 2020-05-28

  18. Understanding machine learning model governance

    Publicerades: 2020-05-21

  19. Improving performance and scalability of data science libraries

    Publicerades: 2020-05-14

  20. Why TinyML will be huge

    Publicerades: 2020-05-07

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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/].

Visit the podcast's native language site