Adventures in Machine Learning

183 Épisodes

1. Lyft's ML Infrastructure Journey - ML 139

   Publié: 18/01/2024
2. From Open Source to Traditional ML with James Lamb - ML 138

   Publié: 04/01/2024
3. Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137

   Publié: 21/12/2023
4. Beyond Machine Learning - ML 136

   Publié: 07/12/2023
5. Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135

   Publié: 30/11/2023
6. How To Recession Proof Your Job - BONUS

   Publié: 23/11/2023
7. Complexity Theory - ML 134

   Publié: 23/11/2023
8. Data Watchdogs - ML 133

   Publié: 16/11/2023
9. Causal Analysis - ML 132

   Publié: 09/11/2023
10. Data Visualization and Hugging Face - ML 131

    Publié: 02/11/2023
11. Confidence as Data Scientist - ML 130

    Publié: 19/10/2023
12. A Case Study: Recommendation Engines - ML 129

    Publié: 05/10/2023
13. Maximizing Efficiency in ML Project Development - ML 128

    Publié: 21/09/2023
14. AI that Make You Better - ML 127

    Publié: 14/09/2023
15. Challenges for LLM Implementation - ML 126

    Publié: 07/09/2023
16. ML in the Cannabis Industry - ML 125

    Publié: 24/08/2023
17. How AI Impacts Society - ML 124

    Publié: 17/08/2023
18. LLMs on Azure - ML 123

    Publié: 03/08/2023
19. How to Create Team Utils - ML 122

    Publié: 21/07/2023
20. How to Get Sh*t Done - ML 121

    Publié: 13/07/2023