Data Science by ODS.ai 🦜
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First Telegram Data Science channel. Covering all technical and popular staff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. To reach editors contact: @malev
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​​Light regression analysis of some Microsoft employees salary distrubution

How basic knowledge of regression and couple of graphs can make an information look much better and clear.

Link: https://onezero.medium.com/leak-of-microsoft-salaries-shows-fight-for-higher-compensation-3010c589b41e

#regression #simple #salary #infographic
Free ebooks on Deep Learning

PDFs and epub books on Deep Learning. Make sure you comply with copyrights and use this repository only to get familiar with content and purchasing a legal copy afterward!

Also you should save this link somewhere by forwarding message to your Saved messages (just long tap / click on message and then type ‘Saved messages’ in the dialogue search) or your fellow group, because repo might get shutdown for copyright violation.

Link: https://github.com/ontiyonke/Free-Deep-Learning-Books/tree/master/book

#library #ebook #piracy #DL #studymaterials
Great collections of Data Science learning materials

The list includes free books and online courses on range of DS-related disciplines:

Machine learning (#ML)
Deep Learning (#DL)
Reinforcement learning (#RL)
#NLP

Tutorials on #Keras, #Tensorflow, #Torch, #PyTorch, #Theano

Notable researchers, papers and even #datasets. It is a great place to start reviewing your knowledge or learning something new.

Link: https://hackmd.io/@chanderA/aiguide

#wheretostart #entrylevel #novice #studycontent #studymaterials #books #MOOC #meta
ODS Frushtuck Munich! Jeder ist wilkommen, aber offizielle sprache ist englisch.

ODS breakfast in Munchen! See you this Friday (27th) at 8:30 at

Schmalznudel - Cafe Frischhut
Prälat-Zistl-Straße 8, 80331 München
https://goo.gl/maps/LnX8QVpjDM6sDCNQ8

Evgenii +4916091541827
ODS breakfast in Paris! See you this Saturday (28th) at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.
🎓CS224W: Machine Learning with Graphs

Great course from #Stanford. You still on time to jump at studying from one of the best schools.

Students are introduced to machine learning techniques and data mining tools apt to reveal insights on the social, technological, and natural worlds, by means of studying their underlying network structure and interconnections.

Topics include: robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; graph neural networks and representation learning; identification of functional modules in biological networks; disease outbreak detection.

Link: http://cs224w.stanford.edu
Videos link: http://snap.stanford.edu/class/cs224w-videos-2019/

#MOOC #entrylevel #wheretostart
Big scandal on popular YouTuber ML course

Siraj Raval, who raised his audience on devliering various YouTube videos, explaning #ML and #DL concepts as long with interviews with leading persons, launched his own course, but failed to provide much value.

His course was built on open and free tutorials, created by passionate enthusiasts, but he failed to attribute them properly and charged money for ununique content without any proper support for students.

He also oversold his course and tried to hide that from students, claiming to provide personal feedbacks, but failing to do so due to being too greedy.


Most of the best online courses and study programms are available online and for free, including those, we gathered here on our channel and attributed with hastags #wheretostart #entrylevel #MOOC #tutorial. Feel free to click these hashtags and browse for best available resources to start learning data science.

Link: https://www.theregister.co.uk/AMP/2019/09/27/youtube_ai_star
GPT-2 hadn’t (yet) fooled jury at The Economist’s Open Future Essay Contest

Though one of the judges suggested that «It is strongly worded and backs up claims with evidence, but the idea is not incredibly original.»

Link: https://www.economist.com/open-future/2019/10/01/how-to-respond-to-climate-change-if-you-are-an-algorithm

#NLP #GPT2 #NLU
27,600 V100 GPUs, 0.5 PB data, and a neural net with 220,000,000 weights

If you wonder, it all was used to address scientific inverse problem in materials imaging.

ArXiV: https://arxiv.org/pdf/1909.11150.pdf

#ItIsNotAboutSize #nn #dl
​​📹Artificial caricature

Agents learn to draw simplified (artistic?) portraits via trial and error.

Project website: https://learning-to-paint.github.io
ArXiV: https://arxiv.org/abs/1910.01007

#GAN #CelebA #DL