Dominic Stark

Data Scientist. Studied physics at @ETH.

[Modulos @Modulos_ai]

🚀🤖Please join us for our product launch event live on @YouTube:

📺https://t.co/XheCrO8yv0

[Modulos @Modulos_ai]

Improving your model: overrated.
Improving your data: underrated.

#DataCentricAI

[Modulos @Modulos_ai]

Our latest release is out!

📄 CSV tables are now drag and drop
✅ You can save workflow drafts for later
🆒 Classification with probabilities expanded to multiple categories

Take a look at the release post:

https://t.co/Yt0jlHeKey

[Dominic Stark @dominic_stark]

@RailService Liebe SBB, ich würde mich sehr freuen, wenn es im Zugrestaurant Hafermilch gäbe. Gibt es da schon Pläne?

[Modulos @Modulos_ai]

McKinsey surveyed over 800 tech companies globally and found that just 10 percent of companies are on the path to be AI leaders. Those leaders are poised to capture a disproportional impact from their AI investments.

Full report: https://t.co/HPxTIE0x54

[Reto Knutti @Knutti_ETH]

1/ In der @SRF #ARENA argumentiert @ChristianImark mit einer mehrfach falschen Grafik, dass die Schweiz ihre pro Kopf Emissionen massiv reduziert habe und ein #CO2Gesetz unnötig sei.

Faktencheck:

[Modulos @Modulos_ai]

#Modulos #AutoML v.0.4.1. is out! It focuses on giving more insight into the AutoML platform and trained solutions. Learn all about the latest version in our release notes. ⤵️
Which of the new features are you most excited about?

https://t.co/4Thmh3Z3QU

[Modulos @Modulos_ai]

Monday is here, and you know what that means! It’s time for another #MachineLearning lesson with #Modulos.
Watch the video to find out what ML models are and how they differ from each other. 👇🏻

#Artificialintelligence #AutoML #ModulosMLMonday

https://t.co/QCEPuFrziw

[Kevin Schawinski @kevinschawinski]

We're testing some new features for @Modulos_ai AutoML, so I'm looking for some beta testers.

I'm particularly looking for people who:
- have an ML-ready data set they are already working on
- have either no or just some experience with #machinelearning

DM me!

[Dominic Stark @dominic_stark]

Our new release v0.4.0 is out. If you are interested in what we are doing, you can follow us here on Twitter or on LinkedIn. 2021 will be a great year, packed with improvements and new features and this release is just the beginning!

[Modulos @Modulos_ai]

Upgraded workflow configuration, sleek UI design, and more insight into trained models sound good?
Then you’ll love #Modulos #AutoML v.0.4.0. - check out the details in our release notes, and get in touch if you’d like to try it out! 👇🏻

#MachineLearning
https://t.co/ggtmACrZdE

[Modulos @Modulos_ai]

Our newest blog is here to keep you from getting lost in a random forest! 🌳
We used prediction of housing prices to illustrate how #DecisionTrees and #RandomForests work and what problems they can solve.

#MachineLearning #Modulos #AI #AutoML

https://t.co/DIagprbUgG

[Katie Mack @AstroKatie]

So if you're outside some field of scientific expertise, your best bet is to wait at the sidelines and watch for consensus shifts, not hitch your wagon to whoever is shouting "all the other experts are wrong!" in the hope that MAYBE they're about to convince their colleagues.

[Modulos @Modulos_ai]

How can you benefit from using @Modulos_ai AutoML?

In this user story, we show how an astrophysicist at @Yale was able to reduce the development time of a deep learning system from over 3 months to two weeks of hands-off compute.

https://t.co/f8szDXSaD7

[Kevin Schawinski @kevinschawinski]

A key advantage of automated machine learning is that it reduces the time from idea to deployable machine learning model. Rather than spending time and attention on model selection and tuning, you can focus on the problem you are trying to solve.

[Kevin Schawinski @kevinschawinski]

I was on the @datenbusiness podcast talking about @Modulos_ai, automated machine learning, and our vision for the future of ML. Check it out!

👇

[Ezequiel Treister @ezetre]

We have been using @Modulos_ai in our research group and it is working extremely well, making it much easier for anyone to carry out ML projects, even without a strong CS background.

[Modulos @Modulos_ai]

We spoke to Ezequiel Treister @ezetre about how AutoML enables Chilean astrophysics research in Chile

https://t.co/tpgzb5D4lN

[Daniel Mack @danielmack]

„Das kann jeder ausrechnen, der sich mit Exponentialfunktionen auskennt. Und wir sind ja der Kontinent der Aufklärung.“

- Angela #Merkel ❤️

[Kevin Schawinski @kevinschawinski]

The Jupyter notebook makes it super easy to experiment with trained models right away.