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Data Science
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Classroom Contents
Securing the Software Development Life Cycle with Machine Learning
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- 1 Introduction
- 2 Mike the Developer
- 3 What happened
- 4 Agenda
- 5 The Basics
- 6 Two Main Camps
- 7 Level of Trust
- 8 Where do bugs go
- 9 How many bugs are there
- 10 What does this look like
- 11 Does this matter
- 12 Finding bugs
- 13 The opportunity for ML
- 14 How ML works
- 15 What does the security team want
- 16 What is supervised learning
- 17 Recap
- 18 Data
- 19 Data Science
- 20 Classification System
- 21 Data Science and Security
- 22 Data Quality
- 23 Takeaways
- 24 How does this help your customers
- 25 What this means to you
- 26 What this means to customers
- 27 What does this mean for you
