The Data Exchange with Ben Lorica

256 Episodo

1. From Python beginner to seasoned software engineer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 7/5/2020
16. An open source platform for training deep learning models

    Publicado: 30/4/2020
17. Algorithms that continually invent both problems and solutions

    Publicado: 23/4/2020
18. Computational Models and Simulations of Epidemic Infectious Diseases

    Publicado: 16/4/2020
19. Human-in-the-loop machine learning

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

    Publicado: 2/4/2020