281 Episodo

  1. Unleashing the power of large language models

    Publicado: 18/8/2022

  2. Building production-ready machine learning pipelines

    Publicado: 11/8/2022

  3. Machine Learning at Gong

    Publicado: 4/8/2022

  4. Data Infrastructure for Computer Vision

    Publicado: 28/7/2022

  5. How DALL·E works

    Publicado: 21/7/2022

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

    Publicado: 14/7/2022

  7. Orchestration and Pipelines for Data Scientists

    Publicado: 7/7/2022

  8. Dataframes at scale

    Publicado: 30/6/2022

  9. Software-Defined Assets

    Publicado: 23/6/2022

  10. Adversarial Machine Learning

    Publicado: 16/6/2022

  11. Orchestrating Machine Learning Applications

    Publicado: 9/6/2022

  12. Narrative AI

    Publicado: 2/6/2022

  13. Machine Learning Model Observability

    Publicado: 26/5/2022

  14. Dataflow Automation

    Publicado: 19/5/2022

  15. Practical Machine Learning and Deep learning

    Publicado: 12/5/2022

  16. Machine Learning for Optimization

    Publicado: 5/5/2022

  17. Efficient Scaling of Language Models

    Publicado: 28/4/2022

  18. Data Science at Stitch Fix

    Publicado: 21/4/2022

  19. The 2022 AI Index

    Publicado: 14/4/2022

  20. Why You Need A Time-Series Database

    Publicado: 7/4/2022

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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