harini (@jarvision__) profile picture

harini

@jarvision__

Intersection of AI and Product | AI @Oko.trade | Prev @Sophos, @Capsule8 | Founder @ProductBulb

 New York, USA
harini.blog/
Joined May 2015
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  • Following602
  • Followers153
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Photo by harini (@jarvision__)
The Power of Distributed XGBoost: Efficient and Cost-Effective Training for Petabytes of Data harini.blog/2023/06/22/the-p… #xgboost #distributedcomputing #BigData
The Power of Distributed XGBoost: Efficient and Cost-Effective Training for Petabytes of Data

The Power of Distributed XGBoost: Efficient and Cost-Effective Training for Petabytes of Data

In the era of big data, managing and processing large volumes of information is a challenge faced by many organizations. As a data science professional, one must constantly explore innovative techn…

harini.blog
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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 ai.sophos.com/2022/12/15/nat…

Cyber Defense for the AI Era

Defend your organization from AI-enabled threats and accelerate the secure adoption of AI-led technologies.

sophos.com
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harini retweeted
vicki (@vboykis) profile picture
vicki@vboykis13 Nov 2022
New blog post: How I (try to) keep up with learning in machine learning. vickiboykis.com/2022/11/10/h…
How I learn machine learning

How I learn machine learning

1. Learn broadly. 2. Learn deeply. 3. Don't be afraid to re-learn

vickiboykis.com
vicki (@vboykis) profile picturevicki@vboykis13 Nov 2022
Finishing up a blog post on learning/keeping up with machine learning these days as an MLE. Who has some good content I can link to for reference?
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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: arxiv.org/abs/2209.09125
Operationalizing Machine Learning: An Interview Study

Operationalizing Machine Learning: An Interview Study

Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a...

arxiv.org
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This is awesome
vicki (@vboykis) profile picturevicki@vboykis2 Sep 2022
🎉🚨This is real. 🚨🎉 #NormConf is happening. Normconf.com December 15. Online. Free. A day of normcore data takes. It’s gonna be great. Registration is open.
Normconf

Normconf

Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn't get the spotlight

normconf.com
Want to learn about Active Directory security? Start with these blogs 👇 A thread 🧵 (1/8)
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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!
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Super excited to talk at @aivillage_dc @defcon about #privacy preserving data collection for User Behavior Modeling!
Sophos (@Sophos) profile pictureSophos@Sophos4 Aug 2022
Headed to #DEFCON30? You won't want to miss these sessions... 👉 With Harini Kannan: aivillage.org/defcon%2030/de… 👉 With Salma Taoufiq and Ben Gelman: aivillage.org/defcon%2030/de…
Image from Sophos (@Sophos)
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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. news.sophos.com/en-us/2022/0…
SophosAI presentations at Black Hat, BSides LV and DEF CON AI Village

SophosAI presentations at Black Hat, BSides LV and DEF CON AI Village

Six presentations in Las Vegas this week cover multiple cybersecurity applications of machine learning

sophos.com
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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 reproducible.cs.princeton.ed… 🧵
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What are the best ML *books* to come out in the last three years? They can be code-focused, theory-focused, whatever, but they have to be books.
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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 🙏❤️
Image from Dark Matter88 (@dark_matter88_)
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New Hugging Face SageMaker Example💫✨ Learn how to use a custom inference script to easily compute sentence embeddings using SBERT.net Sentence Transformer models. 🧮 🖼 blog: philschmid.de/custom-inferen… 📈 notebook: github.com/huggingface/noteb…
code snippet

ALT code snippet

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Yet another p-value post - this time by me harini.blog/2021/12/10/expla… #stats #simplifydatascience
Explaining P-value to a non technical audience

Explaining P-value to a non technical audience

Wikipedia defines p-value as “the probability of obtaining test results at least as extreme as the results actually observed, under the assumption that the null hypothesis is correc…

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I spent 300 hours writing a guide on how to write well. Enjoy! julian.com/guide/write/intro
Writing Well Handbook by Julian Shapiro

Writing Well Handbook by Julian Shapiro

Learn how to write well. Topics include figuring out what to write about, how to write an introduction, the writing process, writing style, and copyediting.

julian.com
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.@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
Image from Joshua Saxe (@joshua_saxe)
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The ultimate hack to 10x your career: Enter the Side Door. Let's break it down 👇👇👇
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TIL: linux-kernel-labs.github.io exists.
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multicollinearity and confounding variables #Statistics #regression harini.blog/2021/10/10/under…

Understanding Multicollinearity and Confounding Variables in Regression

Multicollinearity When two or more of the predictors are correlated, this phenomenon is called multicollinearity. This affects the resulting coefficients by masking the underlying individual weight…

harini.blog
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Great blog post - This is an awesome read for anyone looking to build a data team from scratch
Erik Bernhardsson (@bernhardsson) profile pictureErik Bernhardsson
@bernhardsson7 Jul 2021
I wrote a blog post about how to build at data team in the form of a story (and it ended up being about 4x longer than I anticipated): erikbern.com/2021/07/07/the-…
Building a data team at a mid-stage startup: a short story

Building a data team at a mid-stage startup: a short story

You are brought into a startup to run their three-person data team. This is a story about teams and organization, and how you spend a year getting the team to a good place.

erikbern.com
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