281 Epizód

  1. Exploring DALL·E 2

    Közzétéve: 2023. 01. 05.
  2. Data Science at Shopify and Stitch Fix

    Közzétéve: 2022. 12. 29.
  3. Building a data management system for unstructured data

    Közzétéve: 2022. 12. 22.
  4. A Cloud Native Vector Database Management System

    Közzétéve: 2022. 12. 15.
  5. What’s Next for Machine Learning in Time Series

    Közzétéve: 2022. 12. 08.
  6. Efficient Methods for Natural Language Processing

    Közzétéve: 2022. 12. 01.
  7. Responsible and Trustworthy AI

    Közzétéve: 2022. 11. 23.
  8. Building a premier industrial AI research and product group

    Közzétéve: 2022. 11. 17.
  9. An open source, production grade vector search engine

    Közzétéve: 2022. 11. 10.
  10. A comprehensive suite of open source tools for time series modeling

    Közzétéve: 2022. 11. 03.
  11. Building Safe and Reliable AI applications

    Közzétéve: 2022. 10. 27.
  12. A new storage engine for vectors

    Közzétéve: 2022. 10. 20.
  13. Project Lightspeed: Next-generation Spark Streaming

    Közzétéve: 2022. 10. 13.
  14. The Unreasonable Effectiveness of Speech Data

    Közzétéve: 2022. 10. 06.
  15. Machine Learning Integrity

    Közzétéve: 2022. 09. 29.
  16. Synthetic data technologies can enable more capable and ethical AI

    Közzétéve: 2022. 09. 22.
  17. Confidential Computing for Machine Learning

    Közzétéve: 2022. 09. 15.
  18. Applied NLP Research at Primer

    Közzétéve: 2022. 09. 08.
  19. Using SQL to Retrieve Data from APIs and Web Services

    Közzétéve: 2022. 09. 01.
  20. Machine Learning for Time Series Intelligence

    Közzétéve: 2022. 08. 25.

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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