Yesterday at ML Conference, which took place this year for the first time, I had a talk on cool bits of calculus and linear algebra that are useful and fun to know if you’re writing code for deep learning and/or machine learning. Originally, the title was something like “... [Read more...]

[Read more...]

This week in Kassel, [R]Kenntnistage 2017 took place, organised by EODA. It was all about Data Science (with R, mostly, as you could guess): Speakers presented interesting applications in industry, manufacturing, ecology, journalism and other fields, including use cases such as predictive maintenance, forecasting and risk analysis. I had the ... [Read more...]

Yesterday, the Munich datageeks Data Day took place. It was a totally fun event – great to see how much is going on, data-science-wise, in and around Munich, and how many people are interested in the topic! (By the way, I think that more than half the talks were about deep ... [Read more...]

[Read more...]

Last weekend, another edition of Trivadis Tech Event took place. As usual, it was great fun and a great source of inspiration. I had the occasion to talk about deep learning twice: One talk was an intro to DL4J (deeplearning4j), zooming in on a few aspects I’ve ... [Read more...]

Earlier today, I presented at UseR! 2017 about HaskellR: a great piece of software, developed by Tweag I/O, that allows to seemlessly use R from Haskell. It was my first UseR!, it was a great experience, and if I had the time I’d like to write a separate blog ... [Read more...]

[Read more...]

[Read more...]

Yesterday at PASS Meetup Munich, I talked about R for SQListas – thanks again for your interest and attention guys, it was a very nice evening! Actually, in addition to the content from that original presentation, which I’ve also covered in two recent blog posts (R for SQListas(1): Welcome to ... [Read more...]