The Power of Distributed XGBoost: Efficient and Cost-Effective Training for Petabytes of Data https://t.co/eX5DzHoYDN
#xgboost#distributedcomputing#BigData
Some more work by @younghoo_au and @joshua_saxe on training #GP3 models to translate natural language requests to vendor XDR/MDR queries. Now a complex task hidden behind complex interfaces and database schemas. @SophosAI@SophosXOps@Sophos
https://t.co/UpbVnuu6ph
Our understanding of MLOps is limited to a fragmented landscape of thought pieces, startup landing pages, & press releases. So we did interview study of ML engineers to understand common practices & challenges across organizations & applications: https://t.co/RLkNqz8XtG
🎉🚨This is real. 🚨🎉
#NormConf is happening.
https://t.co/9roskd3MMD
December 15.
Online.
Free.
A day of normcore data takes.
It’s gonna be great.
Registration is open.
If you're going to @defcon, check out @aivillage_dc. They have a fantastic set of talks lined up:
- @harini on modeling User Behavior
- @NMspinach on hacking RL systems
- Salma Taoufiq and Ben Gelman (@SophosAI) - Alert Prioritization
- @drhyrum on this year's ML Evasion Comp!
Headed to #DEFCON30? You won't want to miss these sessions...
👉 With Harini Kannan: https://t.co/5qqpzyhAoy
👉 With Salma Taoufiq and Ben Gelman: https://t.co/3JJSZII5ab
Super excited about all the presentation my team @SophosAI has lined up in Vegas this week. If you are able to attend please attend and ask question! We are eager to hear from the community on our work.
https://t.co/Fo78BpoK53
ML is being rapidly adopted in the sciences, but the gnarly problem of data leakage has led to a reproducibility crisis. In a new paper, @sayashk and I present "model info sheets" to catch leakage by guiding researchers through a series of ~20 questions https://t.co/HPV7tP1f1Z 🧵
As many Ukrainian IT engineers right now I was left without a job 😔I am a Data Scientist with 5 years of experience in full-cycle ML models development (including deployment) and in managing data science teams. If anyone sees job positions I could fit, ping me 🙏❤️
New Hugging Face SageMaker Example💫✨
Learn how to use a custom inference script to easily compute sentence embeddings using https://t.co/CJKx4IpSkb Sentence Transformer models. 🧮
🖼 blog: https://t.co/VebQxHH03D
📈 notebook: https://t.co/ef7dJBczI7
.@SophosAI's very talented @awalinsopan demonstrates how to combine linear time clustering of command line powershell events, supervised ML scoring, and visualization, to cut through millions of events to find maliciousness on large networks, @CamlisOrg