Coursera Cuts Jobs Despite $100M Revenue Milestone

When the Magic Wears Off - Flaws in ML for Security Evaluations and What to Do About It

When the Magic Wears Off - Flaws in ML for Security Evaluations and What to Do About It

Security BSides London via YouTube Direct link

Conclusion

11 of 11
Previous

11 of 11

Conclusion

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

When the Magic Wears Off - Flaws in ML for Security Evaluations and What to Do About It

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Intro
  2. 2 ML for Security
  3. 3 The magic of cross-validation
  4. 4 The curse of cross-validation
  5. 5 Temporally inconsistent datasets
  6. 6 Time Decay
  7. 7 Bias From Imbalanced Testing
  8. 8 Tuning the Training Ratio
  9. 9 Evaluation Constraints
  10. 10 Discussion (2/2)
  11. 11 Conclusion

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.