Check out this talk by Salomon Kabongo on automatic speech translation at NeurIPS 2021! (Salomon also studied at the Tokyo Data Science / Acalonia school.)

If you'd like to join a talk on “Designing a Machine Learning System for Enterprise” by Jürgen Stary, please DM me for a Zoom link. Jürgen is a Tokyo Data Science / Acalonia alumnus and works as an ML engineering manager/architect. It's 60 min on Wed, Dec 15 from 10 am UTC / 7 pm JST

Everyone interested is welcome to join these lectures I'll give MLT: "A rigorous introduction to probability theory". If you want to join but can't because of your time zone, DM me. It may be possible to run these lectures also at times convenient, say, for the Americas.

I just learned my student/TA/RA got admitted to MIT's PhD program. This gave me an idea of how Acalonia will support grad school applicants across disciplines: It will run free live online statistics courses and help top performers join top grad schools. DM me if interested

My past students got to PhD programs at Stanford, MIT, Princeton, Columbia, or UTokyo. You may plan to apply to PhD or master's programs or for postdocs where statistics is relevant, such as CS, ML/AI, biology, or economics. Here is how I and Acalonia can support you. (1/3)

Big congrats to Adam on becoming a Kaggle Competitions Master after winning a gold medal 🥇 in the machine-learning competition Jigsaw Rate Severity of Toxic Comments! Adam studied at Tokyo Data Science / Acalonia and I must say he's just brilliant. See his blog post below.

Adam's (Adam Montgomerie ) blog post on his Kaggle journey is now also recommended by the founder/CEO of Kaggle! How cool! Adam learned a lot about machine learning at Tokyo Data Science/Acalonia and will give a talk there about his Kaggle experience. DM me if you'd like to join the talk

All lectures on probability theory by Michal Fabinger are now online! Along with those, Michal also provides quizzes and homework! 🔥 Let us know if you'd like to see more math content! 🤖 See all mlt.ai/math-probabili… 🧠 Lecture 1 youtu.be/MxZN5F8iYLM

Super kind words from an exceptional machine-learning community builder and engineer! 🙏

🚀 DATA SCIENCE COMMUNITY 🚀 Build a solid foundation of statistics: Excited to be hosting weekly math lectures by Michal Fabinger – starting tomorrow! 📚 #datascience #statistics #math meetup.com/Machine-Learni…

I'm starting a PhD-level 6-month statistics course series. Free of tuition! If you do well and want to get into a quantitative science graduate program, I'll match you with professors seeking remote RAs. They can write recommendations for you. Acalonia +ML community groups

I was happy to learn that an Acalonia student will start her work as a biostatistician at a large pharmaceutical company that helped to fight the covid pandemic. I hope the proportion of Acalonia students with an interest in life sciences will keep growing.

Check out this interesting work on Neural Collages, a new way representing data that exhibits self-similarity! The team includes my former student Stefano Massaroli (Stefano Massaroli) of the University of Tokyo.

Congratulations to Marky, a student/contributor at the Acalonia school, for getting into this data science program at MIT! He's doing some really important work!

If you'd like to join a live introductory lecture on Python over Zoom, please submit this simple form: form.typeform.com/to/cR9FEvpk The lecture is by Flore Castellan and Akshat Nayak, brilliant Acalonia students. 1 hour starting 10:45 am UTC (7:45 pm Japan Time) on Thu, June 16.

Congratulations to Neeraj singh Aithani, an Acalonia school contributor and former student, on winning a solo silver medal 🥈at the #Kaggle U.S. Patent Phrase to Phrase Matching machine-learning competition! Really cool!

Join us for a series of #math lectures on maximum likelihood estimation with Michal Fabinger 🧠🤖 meetup.com/machine-learni…

Congratulations to Marky on this Chief Technologist position! If you want to work with him, here is your chance! Highly recommended! Marky is also a member of the Acalonia community and a former course participant.

This is a pretty wild slide introducing my recent work with Michael Freedman and (((E. Glen Weyl/衛谷倫))) ⿻ 🇺🇸/🇩🇪/🇹🇼. If you are interested, check out Mike's whole talk! Mike leads Microsoft's quantum computing research (and won a Fields medal). Glen is a social scientist and the founder of RadicalxChange.

It was a lot of fun to give a talk today at IndabaX - Democratic Republic of the Congo! Lots of great questions from the audience! Check out IndabaX DRC and the whole network of Deep Learning Indaba conferences if you live in Africa and even if you don't! deeplearningindaba.com/2022/indabax/