Jonas Amrich

AI @ @RossumAi

@[email protected]

[Rossum @RossumAi]

We analyzed 25000 invoices of the US presidential #Election2020 campaigns and created a detailed data visualization
https://t.co/nMzOdC8qi6

Uncovering FL and AZ as the ultimate election battlegrounds, TX neglected, plus 5 more surprising facts about campaign spending so far.

[Petr Baudis @xpasky]

Woohoo! My team, @RossumAi, came in 10th place overall in the Google #HashCode Online Round in Czechia. Our final score was 26147691. 🏆

Thanks @JonasAmrich, tunystom and proste for a super fun evening!

[Elnaz Babayeva @elnazavr]

Congrats to my ex-team @RossumAi for being chosen Startup Of the Year in Czech AI! Good work, @xpasky , @TomasGogar!

https://t.co/9vkC0utuua

[Jonas Amrich @JonasAmrich]

@goodfellow_ian @catherineols Do you mean these notes or is there any other source? https://t.co/DakasdF3SN

[Jonas Amrich @JonasAmrich]

@Tesla Spot the difference between @Waymo's ML Factory For Self Driving Models

[Jonas Amrich @JonasAmrich]

Yesterday's @Tesla Autonomy Day once again confirms that the most important ML asset is not the architecture nor its weights - it's the infrastructure behind it: (https://t.co/W6fYOIVkKi)

[Pavel Suchmann @bver_en]

Jumpshot fights the user sampling bias. #mlprague

[ClueMaker @clue_maker]

@jumpshotinc is analysing clickstream from 100M devices. #mlprague

[Jonas Amrich @JonasAmrich]

Big thanks to @JiriMaterna and all organizers of @MLPrague - I hope Prague will become a world-renowned AI/ML center one day & great conferences like this one helps this goal a lot. (slides from my talk: https://t.co/PXTPYw4ssc )

[MLPrague @MLPrague]

"Dealing with very noisy and very small datasets of labelled data? ➡️ Regularized linear
regression insensitive to outliers." with @JonasAmrich at #MLPrague

[Jonas Amrich @JonasAmrich]

Looking forward to share some details about how we calibrate & remove bias from our data in @jumpshotinc https://t.co/VuqwXp7pis

[MLPrague @MLPrague]

Our speaker @JonasAmrich will teach us at #mlprague a great solution to increase the interpretability of #BigData

He produces accurate estimates of aggregate metrics from Web Traffic by calibrating a fraction of data collected to its true value without phenomenological models.

[MLPrague @MLPrague]

The Program for Machine Learning Prague 2018 is launched!

Get to know all the workshops and conference talks announced until now.

Last 5 Early Bird tickets available, don´t miss your seat! https://t.co/5GH3JvdOhc

#MachineLearning #AI #DeepLearning #mlprague #Conference

[Deren Baker @deren_baker]

The Shortsightedness of the American-Only Approach https://t.co/nxGkWQ3hzy

[Yann LeCun @ylecun]

The video of my keynote talk at NIPS 2016 is now available.

Title: predictive learning.

Abstract:... https://t.co/vg1UpkiV1a

[Google AI @GoogleAI]

What does one name an English language parsing model built with an open-source NN framework? https://t.co/KUwT546l3y

[Jan Sedivy @JanSedivy]

First students registered to the eClub Summer Camp 2016. Register and join us https://t.co/6Spv6R7ODM #CVUTPraha #CVUTFIT #CVUTFEL

[Alex J. Champandard 🍃 @alexjc]

It's reinforcement learning?! This simulated quadruped locomotion is insane. https://t.co/d7ZyOHDQIV (via @karpathy)

[WeAre 360 @360weare]

Our first real world test of 360° video - onboard from Prague Rallysprint shot in 130 km/h: https://t.co/A2Y0cXepSM

[WeAre 360 @360weare]

Multiply the number of burgers we sold by 1.714 and… Nevermind, here’s the timelapse from #mktfest party in 360°! https://t.co/1rKwspYDE9

[Jonas Amrich @JonasAmrich]

@jakubdohnalek Správně, hlavně to nepřepálit na začátek;)