The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Thursdays

Thursdays

Categories:

251 Episodes

  1. Building Safe and Reliable AI applications

    Published: 27/10/2022
  2. A new storage engine for vectors

    Published: 20/10/2022
  3. Project Lightspeed: Next-generation Spark Streaming

    Published: 13/10/2022
  4. The Unreasonable Effectiveness of Speech Data

    Published: 6/10/2022
  5. Machine Learning Integrity

    Published: 29/09/2022
  6. Synthetic data technologies can enable more capable and ethical AI

    Published: 22/09/2022
  7. Confidential Computing for Machine Learning

    Published: 15/09/2022
  8. Applied NLP Research at Primer

    Published: 8/09/2022
  9. Using SQL to Retrieve Data from APIs and Web Services

    Published: 1/09/2022
  10. Machine Learning for Time Series Intelligence

    Published: 25/08/2022
  11. Unleashing the power of large language models

    Published: 18/08/2022
  12. Building production-ready machine learning pipelines

    Published: 11/08/2022
  13. Machine Learning at Gong

    Published: 4/08/2022
  14. Data Infrastructure for Computer Vision

    Published: 28/07/2022
  15. How DALL·E works

    Published: 21/07/2022
  16. Scalable, end-to-end machine learning, for everyone

    Published: 14/07/2022
  17. Orchestration and Pipelines for Data Scientists

    Published: 7/07/2022
  18. Dataframes at scale

    Published: 30/06/2022
  19. Software-Defined Assets

    Published: 23/06/2022
  20. Adversarial Machine Learning

    Published: 16/06/2022

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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