The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Thursdays

Thursdays

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251 Episodes

  1. Orchestrating Machine Learning Applications

    Published: 9/06/2022
  2. Narrative AI

    Published: 2/06/2022
  3. Machine Learning Model Observability

    Published: 26/05/2022
  4. Dataflow Automation

    Published: 19/05/2022
  5. Practical Machine Learning and Deep learning

    Published: 12/05/2022
  6. Machine Learning for Optimization

    Published: 5/05/2022
  7. Efficient Scaling of Language Models

    Published: 28/04/2022
  8. Data Science at Stitch Fix

    Published: 21/04/2022
  9. The 2022 AI Index

    Published: 14/04/2022
  10. Why You Need A Time-Series Database

    Published: 7/04/2022
  11. Data Science at Shopify

    Published: 31/03/2022
  12. An AI Risk Management Framework

    Published: 24/03/2022
  13. An open source and end-to-end library for causal inference

    Published: 17/03/2022
  14. The Graph Intelligence Stack

    Published: 10/03/2022
  15. NLP and Language Models in Healthcare and the Life Sciences

    Published: 3/03/2022
  16. Delivering Continuous Intelligence at Scale

    Published: 24/02/2022
  17. Imperceptible NLP Attacks

    Published: 17/02/2022
  18. Evolving Data Science Training Programs

    Published: 10/02/2022
  19. Building Machine Learning Infrastructure at Netflix and beyond

    Published: 3/02/2022
  20. Democratizing NLP

    Published: 27/01/2022

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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