Adventures in Machine Learning

209 Épisodes

1. The Impact of Process on Successful Tech Companies - ML 145

   Publié: 28/03/2024
2. Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144

   Publié: 21/03/2024
3. MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

   Publié: 14/03/2024
4. Navigating Authority and Transparency in Organizations - ML 142

   Publié: 22/02/2024
5. Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141

   Publié: 08/02/2024
6. Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

   Publié: 25/01/2024
7. Lyft's ML Infrastructure Journey - ML 139

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publié: 14/09/2023