The Data Exchange with Ben Lorica

En podcast av Ben Lorica - Torsdagar

Torsdagar

Kategorier:

270 Avsnitt

  1. Narrative AI

    Publicerades: 2022-06-02
  2. Machine Learning Model Observability

    Publicerades: 2022-05-26
  3. Dataflow Automation

    Publicerades: 2022-05-19
  4. Practical Machine Learning and Deep learning

    Publicerades: 2022-05-12
  5. Machine Learning for Optimization

    Publicerades: 2022-05-05
  6. Efficient Scaling of Language Models

    Publicerades: 2022-04-28
  7. Data Science at Stitch Fix

    Publicerades: 2022-04-21
  8. The 2022 AI Index

    Publicerades: 2022-04-14
  9. Why You Need A Time-Series Database

    Publicerades: 2022-04-07
  10. Data Science at Shopify

    Publicerades: 2022-03-31
  11. An AI Risk Management Framework

    Publicerades: 2022-03-24
  12. An open source and end-to-end library for causal inference

    Publicerades: 2022-03-17
  13. The Graph Intelligence Stack

    Publicerades: 2022-03-10
  14. NLP and Language Models in Healthcare and the Life Sciences

    Publicerades: 2022-03-03
  15. Delivering Continuous Intelligence at Scale

    Publicerades: 2022-02-24
  16. Imperceptible NLP Attacks

    Publicerades: 2022-02-17
  17. Evolving Data Science Training Programs

    Publicerades: 2022-02-10
  18. Building Machine Learning Infrastructure at Netflix and beyond

    Publicerades: 2022-02-03
  19. Democratizing NLP

    Publicerades: 2022-01-27
  20. Machine Learning at Discord

    Publicerades: 2022-01-20

8 / 14

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