281 Episoade

  1. Unleashing the power of large language models

    Publicat: 18.08.2022

  2. Building production-ready machine learning pipelines

    Publicat: 11.08.2022

  3. Machine Learning at Gong

    Publicat: 04.08.2022

  4. Data Infrastructure for Computer Vision

    Publicat: 28.07.2022

  5. How DALL·E works

    Publicat: 21.07.2022

  6. Scalable, end-to-end machine learning, for everyone

    Publicat: 14.07.2022

  7. Orchestration and Pipelines for Data Scientists

    Publicat: 07.07.2022

  8. Dataframes at scale

    Publicat: 30.06.2022

  9. Software-Defined Assets

    Publicat: 23.06.2022

  10. Adversarial Machine Learning

    Publicat: 16.06.2022

  11. Orchestrating Machine Learning Applications

    Publicat: 09.06.2022

  12. Narrative AI

    Publicat: 02.06.2022

  13. Machine Learning Model Observability

    Publicat: 26.05.2022

  14. Dataflow Automation

    Publicat: 19.05.2022

  15. Practical Machine Learning and Deep learning

    Publicat: 12.05.2022

  16. Machine Learning for Optimization

    Publicat: 05.05.2022

  17. Efficient Scaling of Language Models

    Publicat: 28.04.2022

  18. Data Science at Stitch Fix

    Publicat: 21.04.2022

  19. The 2022 AI Index

    Publicat: 14.04.2022

  20. Why You Need A Time-Series Database

    Publicat: 07.04.2022

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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