A podcast on the journey to discovery through data in information security by Jay Jacobs and Bob Rudis. Episode 9: Data Hacking with Mike Sconzo
Episode 9
In this episode, Jay & Bob have a late night conversation with Mike Sconzo from Click Security about what got him into security data science along with a great discussion about machine learning and round out the show with a data science internet roundup
Resources / people featured in the episode:
- Mike Sconzo - @sooshie
- B-Sides Machine Learning
- Click Security
- Data Hacking
- Data science: how is it different to statistics? - IMS Bulletin
- The Importance Of 'Janitorial Work’ In Research - Data Science L.A. blog
- Building a Spam filter with R - ThinkToStart
- 10 FREE Resources to Learn Statistics - Marketing Distillery
- Predictive Analytics Primer - HBR
- GitHut - Carlo Zapponi
In This Episode
| Time Index | Title |
00:00:00 | Data Driven Security Podcast Epidose 9 |
00:00:37 | Welcome |
00:01:20 | Introducing Mike Sconzo (@sooshie) |
00:03:15 | Mike's Journey into Data-Driven Security |
00:06:00 | A peek behind the curtain at Click Security |
00:07:31 | The "Data Hacking" project |
00:11:39 | B-Sides Machine Learning/Malware Talk Recap |
00:18:19 | Finding "Ground Truth" |
00:21:54 | Jay gets [more] confusing |
00:24:57 | Making research practical |
00:29:36 | How do you think data-driven security is being preceived in the broader industr? |
00:34:09 | Data Science News Roundup |
00:35:39 | Data Science vs Statistics |
00:39:09 | The Data Janitor |
00:43:48 | Building a spam filter in R |
00:45:30 | 10 free resources to learn statistics |
00:46:34 | HBR Cage Match |
00:49:00 | GitHut eye candy |
00:51:42 | Closing Time |
