The Data Exchange with Ben Lorica

281 Episodo

1. Connecting Reinforcement Learning to Simulation Software

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 7/5/2020