Jacob

Machine Learning researcher. Developer/maintainer of scikit-multiflow. Open Source advocate.

[Stanford University @Stanford]

The #NobelPrize committee couldn't reach Paul Milgrom to share the news that he won, so his fellow winner and neighbor Robert Wilson knocked on his door in the middle of the night.

[Association for Computing Machinery @TheOfficialACM]

Fran Allen, the first woman to receive the #ACMTuringAward and @IBM's first female Fellow, passed away yesterday on her 88th birthday. Allen made pioneering contributions to computing, and was a dedicated mentor and champion for women in technology: https://t.co/8Wz1qHsZU0

[Jacob @jacobml_mx]

"Our default ranking is weighted toward the interests of an IEEE member, and looking at the top entries, we see that Python has held onto its comfortable lead, with Java and C once again coming in second and third place, respectively."

[IEEE Spectrum @IEEESpectrum]

Spectrum's annual Top Programming Language rankings are out: How does your favorite rate? https://t.co/15FbnkpnoX

[humitos @reydelhumo]

¡Es oficial! ¡El #Español como idioma oficial de la documentación de #Python!

Felicitaciones a todas las personas que están ayudando a que esto sea posible y acercar Python a más personas.

¡Vos también podés sumarte! #PythonDocsEs

https://t.co/V7yJZpHh4U

[Jacob @jacobml_mx]

The notebook for the demo presented in the talk "Learning from evolving data streams" at #SciPy2020 is available in GitHub/Binder:
https://t.co/KufLy8Q9RO

[scikit-multiflow @skmultiflow]

scikit-multiflow was presented in #SciPy2020. The talk "Learning from evolving data streams" is available online: https://t.co/0aBJL9TX59
#MachineLearning #Python #OpenSource #OpenScience

[Jacob @jacobml_mx]

@dillonniederhut Thanks @dillonniederhut 👍

[Dillon Niederhut PhD is at #SciPy2026 @dillonniederhut]

You can read @jacobml_mx's full #SciPy2020 paper here https://t.co/CgRYzOVe0o

[Jacob @jacobml_mx]

Excited to participate as a speaker at #SciPy2020 in the Machine Learning session. I will be talking about machine learning for evolving data streams and of course scikit-multiflow.
https://t.co/DM5Qd63DvK

[Jacob @jacobml_mx]

Surprised by the new look of GitHub repositories, didn't even recognise my repositories at first glance 😅

[Jacob @jacobml_mx]

New release of scikit-multiflow v0.5!🚀💥👊

#skmultiflow #Python #MachineLearning #AI #DataScience #IoT #datastreams

[scikit-multiflow @skmultiflow]

A new release of scikit-multiflow v0.5 is available! 🚀

Check the highlights: https://t.co/I02HRTGWez

scikit-multiflow is a machine learning package for streaming data in Python.

https://t.co/5JjLy2n0UP

@TelecomParis_ @waikato @IP__Paris

[Jacob @jacobml_mx]

"How the pandemic has changed education", by Allison Collins and Austin Steele, CNN.

https://t.co/eTePTYexTm
https://t.co/eTePTYexTm

[Chaz Firestone @chazfirestone]

multimodal party game

[Jacob @jacobml_mx]

GitHub Discussions and Codespaces seem like game-changers for my workflow. https://t.co/4Dv5Y9xLLL

[Jacob @jacobml_mx]

GitHub is now free for teams https://t.co/So1w46byun

[Ricardo Cortés Alcalá @RCA0716]

Lo prometido es deuda... Datos abiertos. https://t.co/FnkSzNRC9A

[Jake VanderPlas @jakevdp]

The frequency of random seeds between 0 and 1000 on github (data from https://t.co/xwutMzNI2N)

[Peyman Milanfar @docmilanfar]

(1/5) One of the most surprising and little-known results in classical statistics is the relationship between the mean, median, and standard deviation. If the distribution has finite variance, then the distance between the median and the mean is bounded by one standard deviation.

[The New Yorker @NewYorker]

Inside this week’s Health Issue of The New Yorker: https://t.co/0IMu9Zi1Ze

[Sinan Aral @sinanaral]

MIT has Posted Free Plans Online for an Emergency Ventilator That Can Be Built for $100.

https://t.co/OhQjFhZ5kC