The Data Exchange with Ben Lorica

270 Episodes

1. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

   Published: 7/2/2020
2. Designing machine learning models for both consumer and industrial applications

   Published: 6/25/2020
3. Building open source developer tools for language applications

   Published: 6/18/2020
4. Viewing machine learning and data science applications as sociotechnical systems

   Published: 6/11/2020
5. Identifying and mitigating liabilities and risks associated with AI

   Published: 6/4/2020
6. How machine learning is being used in quantitative finance

   Published: 5/28/2020
7. Understanding machine learning model governance

   Published: 5/21/2020
8. Improving performance and scalability of data science libraries

   Published: 5/14/2020
9. Why TinyML will be huge

   Published: 5/7/2020
10. An open source platform for training deep learning models

    Published: 4/30/2020
11. Algorithms that continually invent both problems and solutions

    Published: 4/23/2020
12. Computational Models and Simulations of Epidemic Infectious Diseases

    Published: 4/16/2020
13. Human-in-the-loop machine learning

    Published: 4/9/2020
14. Next-generation simulation software will incorporate deep reinforcement learning

    Published: 4/2/2020
15. Business at the speed of AI: Lessons from Shopify

    Published: 3/26/2020
16. How deep learning is being used in search and information retrieval

    Published: 3/19/2020
17. The responsible development, deployment and operation of machine learning systems

    Published: 3/12/2020
18. Hyperscaling natural language processing

    Published: 3/5/2020
19. What businesses need to know about model explainability

    Published: 2/27/2020
20. Scalable Machine Learning, Scalable Python, For Everyone

    Published: 2/20/2020