Adventures in Machine Learning

183 Episodes

1. Lyft's ML Infrastructure Journey - ML 139

   Published: 1/18/2024
2. From Open Source to Traditional ML with James Lamb - ML 138

   Published: 1/4/2024
3. Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137

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

   Published: 12/7/2023
5. Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135

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

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

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

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

   Published: 11/9/2023
10. Data Visualization and Hugging Face - ML 131

    Published: 11/2/2023
11. Confidence as Data Scientist - ML 130

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

    Published: 10/5/2023
13. Maximizing Efficiency in ML Project Development - ML 128

    Published: 9/21/2023
14. AI that Make You Better - ML 127

    Published: 9/14/2023
15. Challenges for LLM Implementation - ML 126

    Published: 9/7/2023
16. ML in the Cannabis Industry - ML 125

    Published: 8/24/2023
17. How AI Impacts Society - ML 124

    Published: 8/17/2023
18. LLMs on Azure - ML 123

    Published: 8/3/2023
19. How to Create Team Utils - ML 122

    Published: 7/21/2023
20. How to Get Sh*t Done - ML 121

    Published: 7/13/2023