Adventures in Machine Learning

183 Episodes

1. How to think about Optimization - ML 102

   Published: 2/3/2023
2. Protecting Your ML From Phishing And Hackers - ML 101

   Published: 1/27/2023
3. The Disruptive Power of Artificial Intelligence - ML 100

   Published: 1/19/2023
4. A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

   Published: 1/6/2023
5. Moving from Dev Notebooks to Production Code - ML 098

   Published: 12/22/2022
6. How to Edit and Contribute to Existing Code Base - ML 097

   Published: 12/15/2022
7. MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

   Published: 12/1/2022
8. How To Recession Proof Your Job - BONUS

   Published: 11/24/2022
9. Should you Context Switch when Writing Code? - ML 095

   Published: 11/24/2022
10. Important Questions To Ask When Scoping ML Projects - ML 094

    Published: 11/17/2022
11. How To Do Research Spikes - ML 093

    Published: 11/10/2022
12. How to Simplify Data Science with DagsHub Founders - ML 092

    Published: 10/27/2022
13. How to Test ML Code - ML 091

    Published: 10/20/2022
14. AGI, Neuron Simulators, and More with Charles Simon - ML 090

    Published: 10/6/2022
15. Complex ML Models with Data Scientist Fernando Lopez - ML 089

    Published: 9/29/2022
16. Distributed Time Series in Machine Learning - ML 088

    Published: 9/22/2022
17. Time Series Models in Machine Learning - ML 087

    Published: 9/15/2022
18. Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086

    Published: 9/8/2022
19. Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085

    Published: 8/25/2022
20. Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084

    Published: 8/18/2022