Adventures in Machine Learning

209 Folgen

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

   Vom: 28.4.2022
2. How to Beef Up Your Resume - ML 068

   Vom: 21.4.2022
3. Training Bots, The Stock Market, and Hypotheticals - ML 067

   Vom: 7.4.2022
4. How to Teach Kids Science with Kathryn Hulick - ML 066

   Vom: 17.3.2022
5. Business Infrastructure in ML with Joe Reis - ML 065

   Vom: 9.3.2022
6. Data Feeds and KDNuggets with Maria Zentsova - ML 064

   Vom: 3.3.2022
7. Rethinking ML Monitoring Part 2 - ML 063

   Vom: 24.2.2022
8. How To Do Post-Production with Abhilash Pattnaik - ML 062

   Vom: 18.2.2022
9. Accurate Predictive Modeling with Maarit Widmann - ML 061

   Vom: 10.2.2022
10. Rethinking ML Monitoring - ML 060

    Vom: 3.2.2022
11. Solving the Real Issues with the MLflow Team - ML 059

    Vom: 27.1.2022
12. Cows, Camels, and the Human Brain - ML 058

    Vom: 20.1.2022
13. Business Objectives and KPIs with Michael Berk

    Vom: 6.1.2022
14. Prediction Intervals - ML 056

    Vom: 16.12.2021
15. 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS

    Vom: 14.12.2021
16. How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055

    Vom: 2.12.2021
17. BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

    Vom: 25.11.2021
18. Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054

    Vom: 18.11.2021
19. A/B Testing with ML ft. Michael Berk - ML 053

    Vom: 11.11.2021
20. Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052

    Vom: 4.11.2021