The Data Exchange with Ben Lorica

Podcast autorstwa Ben Lorica - Czwartki

Czwartki

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281 Odcinki

  1. Data Science at Shopify

    Opublikowany: 31.03.2022
  2. An AI Risk Management Framework

    Opublikowany: 24.03.2022
  3. An open source and end-to-end library for causal inference

    Opublikowany: 17.03.2022
  4. The Graph Intelligence Stack

    Opublikowany: 10.03.2022
  5. NLP and Language Models in Healthcare and the Life Sciences

    Opublikowany: 3.03.2022
  6. Delivering Continuous Intelligence at Scale

    Opublikowany: 24.02.2022
  7. Imperceptible NLP Attacks

    Opublikowany: 17.02.2022
  8. Evolving Data Science Training Programs

    Opublikowany: 10.02.2022
  9. Building Machine Learning Infrastructure at Netflix and beyond

    Opublikowany: 3.02.2022
  10. Democratizing NLP

    Opublikowany: 27.01.2022
  11. Machine Learning at Discord

    Opublikowany: 20.01.2022
  12. Applications of Knowledge Graphs

    Opublikowany: 13.01.2022
  13. Key AI and Data Trends for 2022

    Opublikowany: 6.01.2022
  14. Large Language Models

    Opublikowany: 30.12.2021
  15. Data and Machine Learning Platforms at Shopify

    Opublikowany: 23.12.2021
  16. What is AI Engineering?

    Opublikowany: 16.12.2021
  17. NLP and AI in Financial Services

    Opublikowany: 9.12.2021
  18. Modern Experimentation Platforms

    Opublikowany: 2.12.2021
  19. Reinforcement Learning in Real-World Applications

    Opublikowany: 24.11.2021
  20. MLOps Anti-Patterns

    Opublikowany: 18.11.2021

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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