The Data Exchange with Ben Lorica

256 Episodio

1. From Python beginner to seasoned software engineer

   Pubblicato: 13/08/2020
2. Assessing Models and Simulations of Epidemic Infectious Diseases

   Pubblicato: 06/08/2020
3. Improving the hiring pipeline for software engineers

   Pubblicato: 30/07/2020
4. How to build state-of-the-art chatbots

   Pubblicato: 23/07/2020
5. Democratizing machine learning

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

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

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

   Pubblicato: 25/06/2020
9. Building open source developer tools for language applications

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

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

    Pubblicato: 04/06/2020
12. How machine learning is being used in quantitative finance

    Pubblicato: 28/05/2020
13. Understanding machine learning model governance

    Pubblicato: 21/05/2020
14. Improving performance and scalability of data science libraries

    Pubblicato: 14/05/2020
15. Why TinyML will be huge

    Pubblicato: 07/05/2020
16. An open source platform for training deep learning models

    Pubblicato: 30/04/2020
17. Algorithms that continually invent both problems and solutions

    Pubblicato: 23/04/2020
18. Computational Models and Simulations of Epidemic Infectious Diseases

    Pubblicato: 16/04/2020
19. Human-in-the-loop machine learning

    Pubblicato: 09/04/2020
20. Next-generation simulation software will incorporate deep reinforcement learning

    Pubblicato: 02/04/2020