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MLOps Coffee Sessions #134 with Jeremy Thomas Jordan, Building Threat Detection Systems: An MLE's Perspective, co-hosted by Vishnu Rachakonda.
Join the Community: https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
// Abstract
There is a clear pattern that we have been seeing with some of these greats in MLOps. So many use writing as a forcing function to learn about where they have holes in their understanding of something.
If you are not writing, this episode is important as to why writing is important for your own development. Jeremy goes into writing in depth as to how beneficial it is for him to write and for him to see that he doesn't understand something if he cannot re-articulate it in writing.
// Bio
Jeremy is a machine learning engineer currently working at Duo Security, where he focuses on building ML infrastructure to operate threat detection systems at scale. He previously worked at Proofpoint, where he built models for phishing and malware detection.
// MLOps Jobs board
jobs.mlops.community
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links Website:
https://www.jeremyjordan.me/
--------------- ✌️Connect With Us ✌️ -------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Visnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Jeremy on Twitter: https://twitter.com/jeremyjordan
Timestamps:
[00:00] Jeremy's preferred coffee
[00:15] Introduction of hosts
[00:34] Introduction to Jeremy Thomas Jordan
[01:11] Takeaways
[04:50] Like, subscribe, and leave a review on our platforms
[05:55] Normcore Conference
[09:45] When are rule engines good and when are they not?
[11:50] Going with Implemental Rule
[12:13] Implementing a Rule
[14:42] Managing rules sprawl
[16:40] Reviewing and updating the rules
[17:35] Chaining
[19:27] Rules catching complicated threats
[24:47] Notion of risk and confidence
[26:38] Effective testing for machine learning systems blog post
[28:51] Testing large language models
[31:03] Model evaluation vs model testing
[34:08] Approach to fundamentals
[36:51] “The Cobbler’s Children Have No Shoes”
[41:39] Writing is a checkpoint for Jeremy
[43:10] Posting Jeremy's blogs on https://ghost.org/
[44:32] Jeremy's blogs distribution platforms
[46:18] Jeremy's most popular blog post
[48:14] Sign up for NormConf for free here https://normconf.com/ and attend on December 15th!
[49:50] Wrap up
By Demetrios4.6
2323 ratings
MLOps Coffee Sessions #134 with Jeremy Thomas Jordan, Building Threat Detection Systems: An MLE's Perspective, co-hosted by Vishnu Rachakonda.
Join the Community: https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
// Abstract
There is a clear pattern that we have been seeing with some of these greats in MLOps. So many use writing as a forcing function to learn about where they have holes in their understanding of something.
If you are not writing, this episode is important as to why writing is important for your own development. Jeremy goes into writing in depth as to how beneficial it is for him to write and for him to see that he doesn't understand something if he cannot re-articulate it in writing.
// Bio
Jeremy is a machine learning engineer currently working at Duo Security, where he focuses on building ML infrastructure to operate threat detection systems at scale. He previously worked at Proofpoint, where he built models for phishing and malware detection.
// MLOps Jobs board
jobs.mlops.community
// MLOps Swag/Merch
https://mlops-community.myshopify.com/
// Related Links Website:
https://www.jeremyjordan.me/
--------------- ✌️Connect With Us ✌️ -------------
Join our Slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/
Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Visnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/
Connect with Jeremy on Twitter: https://twitter.com/jeremyjordan
Timestamps:
[00:00] Jeremy's preferred coffee
[00:15] Introduction of hosts
[00:34] Introduction to Jeremy Thomas Jordan
[01:11] Takeaways
[04:50] Like, subscribe, and leave a review on our platforms
[05:55] Normcore Conference
[09:45] When are rule engines good and when are they not?
[11:50] Going with Implemental Rule
[12:13] Implementing a Rule
[14:42] Managing rules sprawl
[16:40] Reviewing and updating the rules
[17:35] Chaining
[19:27] Rules catching complicated threats
[24:47] Notion of risk and confidence
[26:38] Effective testing for machine learning systems blog post
[28:51] Testing large language models
[31:03] Model evaluation vs model testing
[34:08] Approach to fundamentals
[36:51] “The Cobbler’s Children Have No Shoes”
[41:39] Writing is a checkpoint for Jeremy
[43:10] Posting Jeremy's blogs on https://ghost.org/
[44:32] Jeremy's blogs distribution platforms
[46:18] Jeremy's most popular blog post
[48:14] Sign up for NormConf for free here https://normconf.com/ and attend on December 15th!
[49:50] Wrap up

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