The Data Exchange with Ben Lorica

Podcast autorstwa Ben Lorica - Czwartki

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256 Odcinki

  1. From Python beginner to seasoned software engineer

    Opublikowany: 13.08.2020
  2. Assessing Models and Simulations of Epidemic Infectious Diseases

    Opublikowany: 6.08.2020
  3. Improving the hiring pipeline for software engineers

    Opublikowany: 30.07.2020
  4. How to build state-of-the-art chatbots

    Opublikowany: 23.07.2020
  5. Democratizing machine learning

    Opublikowany: 16.07.2020
  6. How graph technologies are being used to solve complex business problems

    Opublikowany: 9.07.2020
  7. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

    Opublikowany: 2.07.2020
  8. Designing machine learning models for both consumer and industrial applications

    Opublikowany: 25.06.2020
  9. Building open source developer tools for language applications

    Opublikowany: 18.06.2020
  10. Viewing machine learning and data science applications as sociotechnical systems

    Opublikowany: 11.06.2020
  11. Identifying and mitigating liabilities and risks associated with AI

    Opublikowany: 4.06.2020
  12. How machine learning is being used in quantitative finance

    Opublikowany: 28.05.2020
  13. Understanding machine learning model governance

    Opublikowany: 21.05.2020
  14. Improving performance and scalability of data science libraries

    Opublikowany: 14.05.2020
  15. Why TinyML will be huge

    Opublikowany: 7.05.2020
  16. An open source platform for training deep learning models

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

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

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

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

    Opublikowany: 2.04.2020

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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/].

Visit the podcast's native language site