The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Thursdays

Thursdays

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281 Episodes

  1. Unleashing the power of large language models

    Published: 8/18/2022
  2. Building production-ready machine learning pipelines

    Published: 8/11/2022
  3. Machine Learning at Gong

    Published: 8/4/2022
  4. Data Infrastructure for Computer Vision

    Published: 7/28/2022
  5. How DALL·E works

    Published: 7/21/2022
  6. Scalable, end-to-end machine learning, for everyone

    Published: 7/14/2022
  7. Orchestration and Pipelines for Data Scientists

    Published: 7/7/2022
  8. Dataframes at scale

    Published: 6/30/2022
  9. Software-Defined Assets

    Published: 6/23/2022
  10. Adversarial Machine Learning

    Published: 6/16/2022
  11. Orchestrating Machine Learning Applications

    Published: 6/9/2022
  12. Narrative AI

    Published: 6/2/2022
  13. Machine Learning Model Observability

    Published: 5/26/2022
  14. Dataflow Automation

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

    Published: 5/12/2022
  16. Machine Learning for Optimization

    Published: 5/5/2022
  17. Efficient Scaling of Language Models

    Published: 4/28/2022
  18. Data Science at Stitch Fix

    Published: 4/21/2022
  19. The 2022 AI Index

    Published: 4/14/2022
  20. Why You Need A Time-Series Database

    Published: 4/7/2022

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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/].