281 Episodes

  1. Connecting Reinforcement Learning to Simulation Software

    Published: 9/17/2020

  2. Using machine learning to detect shifts in government policy

    Published: 9/10/2020

  3. What is AI Assurance?

    Published: 9/3/2020

  4. Best practices for building conversational AI applications

    Published: 8/27/2020

  5. Tools for scaling machine learning

    Published: 8/20/2020

  6. From Python beginner to seasoned software engineer

    Published: 8/13/2020

  7. Assessing Models and Simulations of Epidemic Infectious Diseases

    Published: 8/6/2020

  8. Improving the hiring pipeline for software engineers

    Published: 7/30/2020

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

    Published: 7/23/2020

  10. Democratizing machine learning

    Published: 7/16/2020

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

    Published: 7/9/2020

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

    Published: 7/2/2020

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

    Published: 6/25/2020

  14. Building open source developer tools for language applications

    Published: 6/18/2020

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

    Published: 6/11/2020

  16. Identifying and mitigating liabilities and risks associated with AI

    Published: 6/4/2020

  17. How machine learning is being used in quantitative finance

    Published: 5/28/2020

  18. Understanding machine learning model governance

    Published: 5/21/2020

  19. Improving performance and scalability of data science libraries

    Published: 5/14/2020

  20. Why TinyML will be huge

    Published: 5/7/2020

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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/].