281 Epizód

  1. Training and Sharing Large Language Models

    Közzétéve: 2021. 06. 24.
  2. Questioning the Efficacy of Neural Recommendation Systems

    Közzétéve: 2021. 06. 17.
  3. Automation in Data Management and Data Labeling

    Közzétéve: 2021. 06. 10.
  4. Reinforcement Learning For the Win

    Közzétéve: 2021. 06. 03.
  5. How Companies Are Investing in AI Risk and Liability Minimization

    Közzétéve: 2021. 05. 27.
  6. The Future of Machine Learning Lies in Better Abstractions

    Közzétéve: 2021. 05. 20.
  7. Why You Should Optimize Your Deep Learning Inference Platform

    Közzétéve: 2021. 05. 13.
  8. AI Beyond Automation

    Közzétéve: 2021. 05. 06.
  9. Injecting Software Engineering Practices and Rigor into Data Governance

    Közzétéve: 2021. 04. 29.
  10. Building a data store for unstructured data and deep learning applications

    Közzétéve: 2021. 04. 22.
  11. How Technology Companies Are Using Ray

    Közzétéve: 2021. 04. 15.
  12. Data quality is key to great AI products and services

    Közzétéve: 2021. 04. 08.
  13. Machine Learning in Healthcare

    Közzétéve: 2021. 04. 01.
  14. Measuring the Impact of AI and Machine Learning Research

    Közzétéve: 2021. 03. 25.
  15. The Mathematics of Data Integration and Data Quality

    Közzétéve: 2021. 03. 18.
  16. Pricing Data Products

    Közzétéve: 2021. 03. 11.
  17. Challenges, Opportunities, and Trends in EdTech

    Közzétéve: 2021. 03. 04.
  18. Towards Simple, Interpretable, and Trustworthy AI

    Közzétéve: 2021. 02. 25.
  19. The Rise of Metadata Management Systems

    Közzétéve: 2021. 02. 18.
  20. Tools for building robust, state-of-the-art machine learning models

    Közzétéve: 2021. 02. 11.

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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