Adventures in Machine Learning

209 Episodes

1. For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069

   Published: 4/28/2022
2. How to Beef Up Your Resume - ML 068

   Published: 4/21/2022
3. Training Bots, The Stock Market, and Hypotheticals - ML 067

   Published: 4/7/2022
4. How to Teach Kids Science with Kathryn Hulick - ML 066

   Published: 3/17/2022
5. Business Infrastructure in ML with Joe Reis - ML 065

   Published: 3/9/2022
6. Data Feeds and KDNuggets with Maria Zentsova - ML 064

   Published: 3/3/2022
7. Rethinking ML Monitoring Part 2 - ML 063

   Published: 2/24/2022
8. How To Do Post-Production with Abhilash Pattnaik - ML 062

   Published: 2/18/2022
9. Accurate Predictive Modeling with Maarit Widmann - ML 061

   Published: 2/10/2022
10. Rethinking ML Monitoring - ML 060

    Published: 2/3/2022
11. Solving the Real Issues with the MLflow Team - ML 059

    Published: 1/27/2022
12. Cows, Camels, and the Human Brain - ML 058

    Published: 1/20/2022
13. Business Objectives and KPIs with Michael Berk

    Published: 1/6/2022
14. Prediction Intervals - ML 056

    Published: 12/16/2021
15. 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS

    Published: 12/14/2021
16. How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055

    Published: 12/2/2021
17. BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

    Published: 11/25/2021
18. Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054

    Published: 11/18/2021
19. A/B Testing with ML ft. Michael Berk - ML 053

    Published: 11/11/2021
20. Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052

    Published: 11/4/2021