Data Science by ODS.ai 🦜 - TELEGRAM CHANNEL

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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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You can join Data Science by ODS.ai 🦜 by clicking the Open button on top, which will open up the Telegram channel page in the browser or in the Mobile App. Now review the details and click on JOIN CHANNEL. If it is a private channel, an admin has to review and approve your request, otherwise you will get immediate access to the channel.

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51625
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Data Science by ODS.ai 🦜 MOST VIEWED POST


@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
Posted on 2021-04-08 05:20:17 | Viewed 9818 times

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

Posted on 2021-04-11 14:01:33 | 6365 views


@opendatascience : Today @ 🕙11:00 CET. ☕️ 🥐🇫🇷 Parisian Data Breakfast will be held online 🌐! See you soon at https://spatial.chat/s/DataBreakfast

Posted on 2021-04-10 06:57:38 | 7395 views


@opendatascience : Starting -1 Data Science Breakfast as an audio chat

Posted on 2021-04-09 17:10:17 | 8131 views


@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

Posted on 2021-04-08 05:20:17 | 9818 views


@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

Posted on 2021-04-07 15:54:26 | 8121 views


@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

Posted on 2021-04-06 17:20:11 | 8326 views


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