List of (awesome) interpretable machine learning resources by Michał Łopuszyński 👉github.com/lopusz/awesome…

I've put up a list of all slides from PyDataBerlin 2018 I could find github.com/lopusz/pydata-… (appetizer before the videos 😃) If sb wants to add something just LMK. KUDOS to all the speakers and organizers! It was a great event! #pydataBLN @PyData

Almost forgotten, the slides from my lightning talk at PyDataBerlin 2018 are on-line. If you download the PDF it has clickable links to all papers. #pydataBLN @PyData slideshare.net/lopusz/the-fiv…

The five tribes of Machine Learning explainers #XAI Michał Łopuszyński pydataberlin slideshare.net/lopusz/the-fiv…

Do you care about halting the spread of misinformation? We're looking for 10 volunteers to work with our Automated Factchecking team on a special project for 2 weeks - no experience required. See more details: fullfact.org/about/jobs/

As a machine learning practitioner, are you annoyed by so much bullshit about deep learning/"artificial intelligence"? Who's the biggest bullshitter about deep learning? (too bad twitter polls are maxed at 4)

Whoa! It is not only me! There are more #jupyter_sceptics out there!

I'd like to make a shout-out to the people who run the CRAN (central R repository)--- especially Kurt Hornik, Uwe Ligges and Brian Ripley. They are doing a tremendous service for the scientific community, enforcing and maintaining the quality standards for R packages.

So where can I buy my YOLO-invisibilising t-shirt? youtube.com/watch?v=MIbFvK… #DeepLearning #AdversarialExamples

If you are at PyData London conference on Sunday, come along to our role-playing workshop with Agata_Anastazja @bhargavvader Michał Łopuszyński @w4rnertech . It won't be very technical but it will involve dice and annotating text. What could be more fun?pydata.org/london2019/sch…

#pydataLDN Nicely run workshop by Lev Konstantinovskiy , Michał Łopuszyński and colleagues on the process of collecting labelled data for NLP pipelines

Slides from my talk at #MLinPL :) bit.ly/34d2Uat. It is about "gradient alignment", an interesting concept perhaps studied for the first time in the context of generalization in arxiv.org/abs/1812.02224

(ht Scott Aaronson)

As we're bringing our AI-based diagnostic solution for Magnetic Resonance Imaging automated diagnosis of the Achilles tendon with our Uniwersytet Warszawski spin-off company - Smarter Diagnostics - you're more than welcome to follow us on Twitter!

Jeff Dean I read your Pathways post with interest, but I must confess to finding it frustrating given the sizable but unacknowledged literature on routing networks and highway networks. Will the full pathway to Pathways be given somewhere? blog.google/technology/ai/…

Have a lot of unlabelled data? Want to improve your #ML or #DeepLearning models? Here is everything you always wanted to know about semisupervised learning ruder.io/semi-supervise…! Amazing read, thank you Sebastian Ruder !

I sense it is gonna be a week of semisupervised learning papers, Sebastian Ruder and Barbara Plank arxiv.org/abs/1804.09530, @colinraffel, Avital Oliver augustus odena Ekin Dogus Cubuk Ian Goodfellow with arxiv.org/abs/1804.09170. Who is next? x.com/ogrisel/status…

Hey, what #arxiv preprints has the whole #twitter-verse been reading lately?Is it only #deeplearning and #ai? Have a look at my blog post lopusz.github.io/blog/hey-twitt…