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Data Science by 🦜

Logo of telegram channel opendatascience — Data Science by 🦜
Channel address: @opendatascience
Categories: Technologies
Language: English
Subscribers: 51.85K
Description from channel

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: @haarrp

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The latest Messages 32

2021-02-16 00:38:36
took from the channel

full video:

8.8K views21:38
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2021-02-13 21:45:45 ​​Ultimate post on where to start learning DS Most common request we received through the years was to share insights and advices on how to start career in data science and to recommend decent cources. Apparently, using hashtag #wheretostart wasn't enough…
10.2K viewsedited  18:45
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2021-02-08 19:10:10 Call for speakers for Machine Learning REPA Week 2021

ML REPA and LeanDS communities organize an international online conference Machine Learning REPA Week 2021

We are inviting speakers to give talks or workshops on Machine Learning Engineering, Automation, MLOps and Management topics.


Conference language: ENGLISH
Dates: 5 - 11 April 2021 (7 pm - 9 pm Moscow time, GMT+3)
Format: Online, zoom
Content: Talks up to 30 min, workshops / demos up to 60 min
Topics: Management, Version Control, Pipelines Automation, MLOps, Testing, Monitoring
Deadline: 15 March 2021

Url to apply:

#conference #callforspeakers
21.5K views16:10
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2021-02-07 18:49:20 ​​ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation

The authors suggest ObjectAug perform object-level augmentation for semantic image segmentation.
This approach has the following steps:
- decouple the image into individual objects and the background using the semantic labels;
- augment each object separately;
- restore the black area brought by object augmentation using image inpainting;
- assemble the augmented objects and background;

Thanks to the fact that objects are separate, we can apply different augmentations to different categories and combine them with image-level augmentation methods.


#deeplearning #augmentation #imageinpainting #imagesegmentation
17.7K views15:49
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2021-02-05 01:19:20 Open Datasets for Research

During last week there were several news about newly open datasets for researchers.

1. Twitter opened “full history of public conversation” for academics (specifically, for academics):
We can happily conduct researches about social networks graphs, users behavior and fake news (especially fake news ) without fighting with Twitter API.

2. Papers with code are now also Papers with Datasets:
Not for only NLP, but for all fields structured for easy search and download.
12.1K views22:19
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2021-01-31 15:35:13 ​​JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

The authors suggest a GAN-based approach for solving jigsaw puzzles. JigsawGAN is a self-supervised method with a multi-task pipeline: classification branch classifies jigsaw permutations, GAN branch recovers features to images with the correct order.
The proposed method can solve jigsaw puzzles efficiently by utilizing both semantic information and edge information simultaneously.


#deeplearning #jigsaw #selfsupervised #gan
19.8K views12:35
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2021-01-29 17:47:18 ​​The new year is a good reason to rearrange things

From now on we will post all reports, ML trainings, and other videos in English on the YouTube channel ODS AI Global . All English videos from Data Fest Online 2020 are already there – check them out and don't forget to subscribe!

All content in Russian will be posted on ODS AI RU as always.
13.8K views14:47
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2021-01-26 16:38:22 Course: ODS Knowledge Graphs

Michael Galkin starts a self-paced course on knowledge graphs. For now, it's only in Russian, with the plan to make it in English after the first iteration. The first introduction lecture is available on YouTube. You can join discussion group for all your questions and proposals: @kg_course. The first lecture starts this Thursday, more in the channel @kg_course.

Course curriculum:
* Knowledge representations (RDF, RDFS, OWL)
* Storage and queries (SPARQL, Graph DBs)
* Consistency (RDF*, SHACL, ShEx)
* Semantic Data Integration
* Graph theory intro
* KG embeddings
* GNNs for KGs
* Applications: Question Answering, Query Embeddings
15.7K views13:38
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2021-01-25 19:52:45 more anime by #stylegan

12.6K views16:52
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2021-01-24 13:58:00 Dear AC, who just submitted link through @opendatasciencebot, can you please do it once again and include your telegram handle?

The link you provided is incorrect and we can’t reach you
13.5K views10:58
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