Completed
Machine Learning
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
How to Make Sure Your Data Science Isn't Vulnerable to Attack
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 What is data science
- 3 Data exploration preparation principles
- 4 Applying the algorithms
- 5 Communication
- 6 Machine Learning
- 7 Strong Foundations
- 8 Measure
- 9 Naming conventions
- 10 Detect
- 11 Analysis
- 12 New detection
- 13 New vulnerabilities
- 14 Metadata
- 15 Data quirks
- 16 Check new detection
- 17 How to communicate
- 18 Data flow in infosec
- 19 Balance between caveats and usability
- 20 Different perspectives on the data
- 21 Vulnerability assets
- 22 Actual insight
- 23 Actionable insight
- 24 Beyond your data set
- 25 Other data sets
- 26 Get more data
- 27 The takeaway
- 28 Importance of basic statistics
- 29 Common mistakes
- 30 Lessons learned
- 31 Measuring risk
