Data Science by ODS.ai 🦜 - TELEGRAM CHANNEL
Data Science by ODS.ai 🦜 is a popular Telegram Channel with 51,625 members. There are no reviews yet for this channel.
Channel 'Data Science by ODS.ai 🦜' focuses on data management, data formats & protocols, social sciences, economics, political science and you may subscribe to this channel by clicking the "Open" button (opens in Telegram App).
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Data Science by ODS.ai 🦜 CHANNEL DESCRIPTION
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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: @haarrp
Data Science by ODS.ai 🦜 channel is growing at a rate of 1% and has a potential to reach 61950 people. Advertisers can reach out to the channel admin for any advertising opportunities within this channel.
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Data Science by ODS.ai 🦜 MOST VIEWED POST
Data Science by ODS.ai 🦜 CHANNEL PREVIEW
@opendatascience
:
Self-supervision paper from arxiv for histopathology CV.
Authors draw inspiration from the process of how histopathologists tend to review the images, and how those images are stored. Histopathology images are multiscale slices of enormous size (tens of thousands pixels by one side), and area experts constantly move through different levels of magnification to keep in mind both fine and coarse structures of the tissue.
Therefore, in this paper the loss is proposed to capture relation between d
@opendatascience
:
Today @ 🕙11:00 CET.
☕️ 🥐🇫🇷 Parisian Data Breakfast will be held online 🌐! See you soon at
https://spatial.chat/s/DataBreakfast
@opendatascience
:
Starting -1 Data Science Breakfast as an audio chat
@opendatascience
:
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
This is an interesting paper about learning and combining representations of object shape and appearance from the different domains (for example, dogs and cars). This allows to create a model, which borrows different properties from each domain and generates images, which don't exist in a single domain.
The main idea is the following:
- use FineGAN as a base model;
- represent object appearance with a diff
@opendatascience
:
Advanced Database Systems
This course is a comprehensive study of the internals of modern database management systems. It will cover the core concepts and fundamentals of the components that are used in both high-performance transaction processing systems (OLTP) and large-scale analytical systems (OLAP).
YouTube Playlist
#database #db #sql #nosql
@opendatascience
:
Conversational AI Reading List
List of interesting papers as well as some link to the lectures from Conversational AI course for Columbia University:
https://docs.google.com/spreadsheets/u/0/d/1nSKcnM5r9x82BdyPgn-obN1sRUlLC7zZ082a0132Igk/htmlview#gid=1523499517
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