Jeanne Boyarskysomeone at #kcdc2023 introduced me to https://regexcrossword.com. Very cool!
Chris Woody WoodruffOne thing I am excited about from #KCDC2023 is @avaloniaui. Good chat with @maartenballiauw and @khalidabuhakmeh about this framework.
Aaron KingFlight delay. Guess I’ll go to PubConf now, at least for a few hours. #kcdc2023
Walked into my last presentation room and co2 is 1494. If it doesn’t clear fast, mask for at least part of presentation… #kcdc2023
live blogging cve 101 talk here at #kcdc2023 https://www.selikoff.net/2023/06/23/2023-kcdc-cve-101-the-unfolding-of-a-zero-day-attack/
[2023 kcdc] cve 101: the unfolding of a zero day attack | Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky
Speaker: Theresa Mammarella Twitter: @t_mammarella For more, see the table of contents. Notes Annual cost of cyber crime predicting to top 8 trillion. Only US and China have more than that as GDP Terminology Vulnerability - weakness/flaw in system Threat - attack vector, potential action Risk - probably frequency of that loss. Goal of cybersecurity is
live blogging about data leakage in machine learning from #kcdc2023 - https://www.selikoff.net/2023/06/23/2023-kcdc-data-leakage-why-your-ml-model-knows-too-much/
[2023 kcdc] data leakage – why your ML model knows too much | Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky
Speaker: Leah Berg For more, see the table of contents. Notes Night job - https://www.datasciencerebalanced.com Data Leakage Also known as leakage or target leakage Different meaning for information security (data leaking to outside organization) Can be difficult to spot Training data includes info about test. Model trained on info not available in production How models learn
I get to see the live premiere of a brand new presentation by @kathryngrayson at #kcdc2023
good morning. i'm live blogging the postman tips session here at #kcdc2023 https://www.selikoff.net/2023/06/23/2023-kcdc-10-things-about-postman-everyone-should-know/
[2023 kcdc] 10 things about postman everyone should know | Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky
Speaker: Pooja Mistry Twitter: @poojamakes For more, see the table of contents. Notes Moving towards an API first world Postman started in 2012 with a Chrome extension. Evolved into full API platform
last live blog post of the day from #kcdc2023 - this one on eliminating bias in ML - https://www.selikoff.net/2023/06/22/2023-kcdc-the-elephant-in-your-data-set-avoid-bias-in-machine-learning/
[2023 kcdc] the elephant in your data set – avoid bias in machine learning | Down Home Country Coding With Scott Selikoff and Jeanne Boyarsky
Speaker: Michelle Frost For more, see the table of contents. Notes Intersectionality wheel of privileged. Many spokes and range from power to erased to marginalized. Used the version posted here Bias - inclination or prejudice for or against one person or group ML Bias - systematic error in the model itself due to assumptions Sometimes bias