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What feature stores are people using these days? Are you h̶a̶p̶p̶y̶ less annoyed with your current solution vs. others you've tried?

For most ML systems, data quality is *the* impact bottleneck. It sneaks up on you while the data team is busy modeling; when discovered it's dismissed as a 'bug, fixed' vs. a systemic issue. Impressed with what Jeremy Stanley and eshmu built so far & their vision; congrats!

My favorite data science algorithm (division) saves the day — this time as the final step of automated bad data root-cause analysis by Anomalo. Intuitive ➡️ easy to trust, which is key for this application.

Same. Beast Academy is one of those rare products that immediately turn you into an evangelist. After trying so many math apps that were based on rote memorization or games w/ the occasional addition question, BA was the only one I felt could inspire a love of math.

Beyond excited about ⁦Streamlit⁩ + ⁦SnowflakeDB⁩ . It’s a win-win-win for the community, for our technology, and for customers. blog.streamlit.io/snowflake-to-a…

👋 The project I've been working on is now open source! Open Robo-Advisor is a Python library that acts as an advisor 🤖 for passive indexing (think Wealthfront). It's very basic, but I wanted to get it out early. Check it out and send feedback! 👀 github.com/highwire-ai/op…

Take a look if you're working with Machine Learning for NLP. Fun challenge and a change of pace if you're advising, consulting or taking a break. Slides and lectures already available as a starting point!

We don't store data in warehouses. We operate data factories without quality controls. Then we fight fires when dashboards and data products break. My latest on what we need to do differently: thenewstack.io/build-data-fac…

.Joe Hellerstein, Vikram Sreekanti, Chenggang Wu and I have been working on a new project (and company) to simplify infrastructure for data scientists. We're looking for feedback from data engineers who support data scientists. If you or a friend are willing to chat, we'd appreciate it!

Bindu, can you please explain why you took my work, replaced my watermark with your logo, and tweeted it as your own? Many people I respect follow you so I’m trying to think of a good explanation but coming up short.

I'm very excited to announce that I will be teaching a course on Data Engineering for Machine Learning in September! (1/5) getsphere.com/ml-engineering…

If these SOTA prompts remind you of SEO, that’s because they’re both iteratively manipulating inputs to a black box in an attempt to steer it.

Vince @Conitzer returned to CMU this fall from Duke University with appointments in CMU Computer Science Department and Machine Learning Dept. at Carnegie Mellon. We say returned because Vince did his Ph.D. here and we couldn't be more jazzed to have him back and heading up the Foundations of Cooperative AI Lab! youtu.be/tt_e2ZOfWZg

We just released our first post in a series on monitoring metrics in Anomalo. Visualizations are 🔑 to doing this well: explore the history of the metric, understand the drivers of change, and audit the forecast. anomalo.com/post/monitorin…

Hello tech friends. If you are still hiring, please reply to this with links to jobs and share. If you can help in any capacity also please reply. As long as we’re in this dumpster fire let’s get toasty together.

This finally makes sense.

Hi, this is your annual reminder that Dmitriy Ryaboy 🇺🇸🇮🇱 and I wrote a book a year ago. Reviews are in and they're pretty solid, if I don't say so myself (I do). Might make a good gift. 'Tis the season and all. Just sayin'. Ok, retweet 🔃 this and carry on. 😁 amazon.com/Missing-README…

I've always been passionate about data quality -- that's where the best war stories are, too. My friend Jeremy Stanley is writing book on it and you can read the first chapter now: