The Data Exchange with Ben Lorica

281 Épisodes

1. Connecting Reinforcement Learning to Simulation Software

   Publié: 17/09/2020
2. Using machine learning to detect shifts in government policy

   Publié: 10/09/2020
3. What is AI Assurance?

   Publié: 03/09/2020
4. Best practices for building conversational AI applications

   Publié: 27/08/2020
5. Tools for scaling machine learning

   Publié: 20/08/2020
6. From Python beginner to seasoned software engineer

   Publié: 13/08/2020
7. Assessing Models and Simulations of Epidemic Infectious Diseases

   Publié: 06/08/2020
8. Improving the hiring pipeline for software engineers

   Publié: 30/07/2020
9. How to build state-of-the-art chatbots

   Publié: 23/07/2020
10. Democratizing machine learning

    Publié: 16/07/2020
11. How graph technologies are being used to solve complex business problems

    Publié: 09/07/2020
12. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

    Publié: 02/07/2020
13. Designing machine learning models for both consumer and industrial applications

    Publié: 25/06/2020
14. Building open source developer tools for language applications

    Publié: 18/06/2020
15. Viewing machine learning and data science applications as sociotechnical systems

    Publié: 11/06/2020
16. Identifying and mitigating liabilities and risks associated with AI

    Publié: 04/06/2020
17. How machine learning is being used in quantitative finance

    Publié: 28/05/2020
18. Understanding machine learning model governance

    Publié: 21/05/2020
19. Improving performance and scalability of data science libraries

    Publié: 14/05/2020
20. Why TinyML will be huge

    Publié: 07/05/2020