The Data Exchange with Ben Lorica

Een podcast door Ben Lorica - Donderdagen

Donderdagen

Categorieën:

281 Afleveringen

  1. Data Science at Shopify

    Gepubliceerd: 31-3-2022
  2. An AI Risk Management Framework

    Gepubliceerd: 24-3-2022
  3. An open source and end-to-end library for causal inference

    Gepubliceerd: 17-3-2022
  4. The Graph Intelligence Stack

    Gepubliceerd: 10-3-2022
  5. NLP and Language Models in Healthcare and the Life Sciences

    Gepubliceerd: 3-3-2022
  6. Delivering Continuous Intelligence at Scale

    Gepubliceerd: 24-2-2022
  7. Imperceptible NLP Attacks

    Gepubliceerd: 17-2-2022
  8. Evolving Data Science Training Programs

    Gepubliceerd: 10-2-2022
  9. Building Machine Learning Infrastructure at Netflix and beyond

    Gepubliceerd: 3-2-2022
  10. Democratizing NLP

    Gepubliceerd: 27-1-2022
  11. Machine Learning at Discord

    Gepubliceerd: 20-1-2022
  12. Applications of Knowledge Graphs

    Gepubliceerd: 13-1-2022
  13. Key AI and Data Trends for 2022

    Gepubliceerd: 6-1-2022
  14. Large Language Models

    Gepubliceerd: 30-12-2021
  15. Data and Machine Learning Platforms at Shopify

    Gepubliceerd: 23-12-2021
  16. What is AI Engineering?

    Gepubliceerd: 16-12-2021
  17. NLP and AI in Financial Services

    Gepubliceerd: 9-12-2021
  18. Modern Experimentation Platforms

    Gepubliceerd: 2-12-2021
  19. Reinforcement Learning in Real-World Applications

    Gepubliceerd: 24-11-2021
  20. MLOps Anti-Patterns

    Gepubliceerd: 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