Michał Maj

Data Scientist

[Michał Maj @MichalMaj116]

Computer Vision can be applied in many different fields, sky is the limit, but to be completely honest I would never guess that someday I would work on automatic measurement of the scrotal circumference of Norwegian Red bulls. Check out more at:

https://t.co/JZQ8nuPcEw

[Michał Maj @MichalMaj116]

@4bgaGD6GYl9JHig Lately my main focus was on Sauron deploy, but now that it's done I will get back to Platypus :)

[Michał Maj @MichalMaj116]

I am really glad to say that beta version of 'sauron' - XAI for Neural Networks in R - is finally here!

For more information and examples go to package site: https://t.co/30vjoEfrV9 or visit my blog: https://t.co/se8JApRubX

[Michał Maj @MichalMaj116]

XAI is a set of tools that helps us understand complicated “black box” models. Today I would like to show you a sneak peek of my newest package called 'sauron', which allows you to explain decisions of ConvNets.

https://t.co/4AjhMOyecm

[Michał Maj @MichalMaj116]

In my previous post (https://t.co/X24HiUMZij) I’ve introduced you to my latest project - platypus - R package for object detection and image segmentation.

This time I will go into more details and show you how to use it on biomedical data.
https://t.co/IqJURYiYAF

[Michał Maj @MichalMaj116]

It's been a few exhausting months, but my first Deep Learning R package is finally here!
"platypus" is an R package for object detection and image segmentation.

For more details and examples visit: https://t.co/wTXtTeVj4Z
#r #deeplearning #computervision

[Michał Maj @MichalMaj116]

I finally finished Deep Learning specialization on https://t.co/W5hqf0q6TZ ! :D
My first small step on becoming Deep Learning Expert.

[Marek Rogala @marekrog]

For all data science projects having continuous integration is extremely valuable. TravisCI is popular in open-source #rstats, but for private projects @circleci is a great alternative. Just published a quick tutorial how to set it up https://t.co/nloTFGsHhC @AppsilonDS

[Appsilon @appsilon]

Check out Part 2 of our post on building convolutional neural network in #Keras from R. Today our focus will be on the performance of the network. #rststs #datascience #AI

https://t.co/c0BxItdu4y

[Appsilon @appsilon]

#ArtificialIntelligence or #AI has exploded in popularity both in business as in society. Let's take a look at one way of going about creating a basic #MachineLearning model. #rstats #datascience

https://t.co/9LU3lzHxaL

[Appsilon @appsilon]

What makes #Shiny such a wonderful framework is the fact that it's easy to prototype a solution for almost any #DataScience problem. #rstats

https://t.co/0HJGpJ6Ijw