The Data Exchange with Ben Lorica

281 Folgen

1. Connecting Reinforcement Learning to Simulation Software

   Vom: 17.9.2020
2. Using machine learning to detect shifts in government policy

   Vom: 10.9.2020
3. What is AI Assurance?

   Vom: 3.9.2020
4. Best practices for building conversational AI applications

   Vom: 27.8.2020
5. Tools for scaling machine learning

   Vom: 20.8.2020
6. From Python beginner to seasoned software engineer

   Vom: 13.8.2020
7. Assessing Models and Simulations of Epidemic Infectious Diseases

   Vom: 6.8.2020
8. Improving the hiring pipeline for software engineers

   Vom: 30.7.2020
9. How to build state-of-the-art chatbots

   Vom: 23.7.2020
10. Democratizing machine learning

    Vom: 16.7.2020
11. How graph technologies are being used to solve complex business problems

    Vom: 9.7.2020
12. Machines for unlocking the deluge of COVID-19 papers, articles, and conversations

    Vom: 2.7.2020
13. Designing machine learning models for both consumer and industrial applications

    Vom: 25.6.2020
14. Building open source developer tools for language applications

    Vom: 18.6.2020
15. Viewing machine learning and data science applications as sociotechnical systems

    Vom: 11.6.2020
16. Identifying and mitigating liabilities and risks associated with AI

    Vom: 4.6.2020
17. How machine learning is being used in quantitative finance

    Vom: 28.5.2020
18. Understanding machine learning model governance

    Vom: 21.5.2020
19. Improving performance and scalability of data science libraries

    Vom: 14.5.2020
20. Why TinyML will be huge

    Vom: 7.5.2020