281 Folgen

  1. Why You Need a Modern Metadata Platform

    Vom: 11.11.2021
  2. Making Large Language Models Smarter

    Vom: 4.11.2021
  3. AI Begins With Data Quality

    Vom: 28.10.2021
  4. Modernizing Data Integration

    Vom: 21.10.2021
  5. Deploying Machine Learning Models Safely and Systematically

    Vom: 14.10.2021
  6. Large-scale machine learning and AI on multi-modal data

    Vom: 7.10.2021
  7. Machine Learning in Astronomy and Physics

    Vom: 30.9.2021
  8. The Unreasonable Effectiveness of Multiple Dispatch

    Vom: 23.9.2021
  9. How To Lead In Data Science

    Vom: 16.9.2021
  10. Why interest in graph databases and graph analytics are growing

    Vom: 9.9.2021
  11. The State of Data Journalism

    Vom: 2.9.2021
  12. Auditing machine learning models for discrimination, bias, and other risks

    Vom: 26.8.2021
  13. An oscilloscope for deep learning

    Vom: 19.8.2021
  14. What’s new in data engineering

    Vom: 12.8.2021
  15. The evolution of the data science role and of data science tools

    Vom: 5.8.2021
  16. Data Augmentation in Natural Language Processing

    Vom: 29.7.2021
  17. Storage Technologies for a Multi-cloud World

    Vom: 22.7.2021
  18. Building a next-generation dataflow orchestration and automation system

    Vom: 15.7.2021
  19. Building a flexible, intuitive, and fast forecasting library

    Vom: 8.7.2021
  20. Neural Models for Tabular Data

    Vom: 1.7.2021

10 / 15

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/].

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