The Data Exchange with Ben Lorica

281 Episodes

1. Connecting Reinforcement Learning to Simulation Software

   Published: 9/17/2020
2. Using machine learning to detect shifts in government policy

   Published: 9/10/2020
3. What is AI Assurance?

   Published: 9/3/2020
4. Best practices for building conversational AI applications

   Published: 8/27/2020
5. Tools for scaling machine learning

   Published: 8/20/2020
6. From Python beginner to seasoned software engineer

   Published: 8/13/2020
7. Assessing Models and Simulations of Epidemic Infectious Diseases

   Published: 8/6/2020
8. Improving the hiring pipeline for software engineers

   Published: 7/30/2020
9. How to build state-of-the-art chatbots

   Published: 7/23/2020
10. Democratizing machine learning

    Published: 7/16/2020
11. How graph technologies are being used to solve complex business problems

    Published: 7/9/2020
12. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

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

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

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

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

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

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

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

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

    Published: 5/7/2020