Data Science by ODS.ai 🦜
46.1K subscribers
663 photos
77 videos
7 files
1.75K links
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
加入频道
​​Reimagining Experimentation Analysis at Netflix

Short article on how Netflix built A/B test culture and why they considered that a good resource investment.

Link: https://medium.com/netflix-techblog/reimagining-experimentation-analysis-at-netflix-71356393af21
More info on theirs A/B test platform: https://medium.com/netflix-techblog/its-all-a-bout-testing-the-netflix-experimentation-platform-4e1ca458c15

#Netflix #ExperimentDesign #AB
​​LSTM on Amazon Food Reviews using Google Collaboratory

Article describing how to build easy and small #LSTM network to predict review score based on its text, using #GoogleCollab. This is an #entrylevel post, useful if you have medium experience in #NLP.

Link: https://medium.com/@theodoxbolt/lstm-on-amazon-food-reviews-using-google-collaboratory-34b1c2eceb80

#novice
ODS breakfast in Paris! See you this Saturday (21st) at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.
ODS Frushtuck Munich! Jeder ist wilkommen, aber offizielle sprache ist englisch.

ODS breakfast in Munchen! See you this Friday (20th) at 8:30 at

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

Evgenii +4916091541827
​​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