The Data Exchange with Ben Lorica

A podcast by Ben Lorica - Giovedì

Giovedì

Categorie:

256 Episodio

  1. Delivering Continuous Intelligence at Scale

    Pubblicato: 24/02/2022
  2. Imperceptible NLP Attacks

    Pubblicato: 17/02/2022
  3. Evolving Data Science Training Programs

    Pubblicato: 10/02/2022
  4. Building Machine Learning Infrastructure at Netflix and beyond

    Pubblicato: 03/02/2022
  5. Democratizing NLP

    Pubblicato: 27/01/2022
  6. Machine Learning at Discord

    Pubblicato: 20/01/2022
  7. Applications of Knowledge Graphs

    Pubblicato: 13/01/2022
  8. Key AI and Data Trends for 2022

    Pubblicato: 06/01/2022
  9. Large Language Models

    Pubblicato: 30/12/2021
  10. Data and Machine Learning Platforms at Shopify

    Pubblicato: 23/12/2021
  11. What is AI Engineering?

    Pubblicato: 16/12/2021
  12. NLP and AI in Financial Services

    Pubblicato: 09/12/2021
  13. Modern Experimentation Platforms

    Pubblicato: 02/12/2021
  14. Reinforcement Learning in Real-World Applications

    Pubblicato: 24/11/2021
  15. MLOps Anti-Patterns

    Pubblicato: 18/11/2021
  16. Why You Need a Modern Metadata Platform

    Pubblicato: 11/11/2021
  17. Making Large Language Models Smarter

    Pubblicato: 04/11/2021
  18. AI Begins With Data Quality

    Pubblicato: 28/10/2021
  19. Modernizing Data Integration

    Pubblicato: 21/10/2021
  20. Deploying Machine Learning Models Safely and Systematically

    Pubblicato: 14/10/2021

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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