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Data science/ML/AI

Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistNetwork:Programming, data science, ML - free courses by Big Data SpecialistIndia31 551Technologies & Applications9 384

πŸ“ˆ Analytical overview of Telegram channel Data science/ML/AI

Channel Data science/ML/AI (@datascience_bds) in the English language segment is an active participant. Currently, the community unites 13 690 subscribers, ranking 9 384 in the Technologies & Applications category and 31 551 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 690 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 150 over the last 30 days and by 11 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.13%. Within the first 24 hours after publication, content typically collects 2.20% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 112 views. Within the first day, a publication typically gains 301 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as panda, learning, row, api, ethic.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

13 690
Subscribers
+1124 hours
+227 days
+15030 days
Posts Archive
Data science/ML/AI
Data science/ML/AI
13 690
Graph ML in Industry Workshop When I wrote top applications of GNNs at the beginning of this year, I had a feeling that graph ML community is mature enough to start being used in industrial companies. Nine months ahead we decided to gather researchers, engineers, and industry professionals to talk about applications of graphs in the companies. Please, join us on 23rd Sept, 17-00 Paris time (free, online, ~3 hours) by registering at the link.

Data science/ML/AI
Data science/ML/AI
13 690
Cheatsheet ~ 140 Machine Learning formulas.pdf20.32 MB

Data science/ML/AI
Data science/ML/AI
13 690
CS109 Data Science By Harvard University βŒ›οΈ 12 weeks βœ… Video lectures βœ… Slides βœ… Lab exercises πŸ”— http://cs109.github.io/2015/pages/videos.html Note: i have issues with first video link but others are fine. #datascience #pyton #harvard βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 690
InsightFace: 2D and 3D Face Analysis Project Good implementation for face recognition, and landmark detection ArcFace, CosFace, SubCenter-ArcFace, VPL, Partial-FC https://github.com/deepinsight/insightface

Data science/ML/AI
Data science/ML/AI
13 690
Neural Networks and Deep Learning, a free online book. The book will teach you about: * Neural networks, a beautiful biologic
Neural Networks and Deep Learning, a free online book. The book will teach you about: * Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data * Deep learning, a powerful set of techniques for learning in neural networks http://neuralnetworksanddeeplearning.com/index.html

Data science/ML/AI
Data science/ML/AI
13 690
Matplotlib for beginners and intermediate users + tricks and tips
+2
Matplotlib for beginners and intermediate users + tricks and tips

Data science/ML/AI
Data science/ML/AI
13 690
Graph Neural Networks: Algorithms and Applications A great presentation by Jian Tang about GNN basics, training many layers, self-supervised learning and statistical relational learning.

Data science/ML/AI
Data science/ML/AI
13 690
30 Days of ML, free Kaggle challenge Machine learning beginner β†’ Kaggle competitor in 30 days. Non-coders welcome. Starts August 2nd! FAQ I already have some familiarity with Python and/or Machine Learning. Can I still join the program? Anyone can join! You’ll get more out of the program if you’re not a very advanced Python user, or if you are relatively new to machine learning. What is the time commitment for the program? Assignments should take about 1 hour/day to complete. How much is the program? Nothing! All you need is a Kaggle account. Do I need to bring my own GPU or deep learning workstation? No, Kaggle provides free hosted notebooks with access to GPUs and TPUs to complete your data science projects. πŸ”— https://www.kaggle.com/thirty-days-of-ml Sign Up for the challenge. #kaggle #python #machinelearning #ml βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @bigdataspecialist for more

Data science/ML/AI
Data science/ML/AI
13 690
ML_cheatsheets.pdf

Data science/ML/AI
Data science/ML/AI
13 690
Introduction to Machine Learning Problem Framing By Google Estimated Course Length: 1 hour https://developers.google.com/machine-learning/problem-framing #machinelearning #ml βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to

Data science/ML/AI
Data science/ML/AI
13 690
AI Expert Roadmap Below you find a set of charts demonstrating the paths that you can take and the technologies that you woul
AI Expert Roadmap Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert. What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept! https://i.am.ai/roadmap/ #ai #artificialintellignece #ml #machinelearning #datascience #roadmap βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
Artificial Intelligence course by MIT Professor: Patrick Winston, Ford Professor of Artificial Intelligence and Computer Science. 🎬 23 lessons ⏰ 17 hours This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances. πŸ”— Link to couse πŸ”— Link to video lessons 🎬 #ai #artificialintellignece #mit βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
CS231n: Convolutional Neural Networks for Visual Recognition Stanford - Spring 2021 These notes accompany the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition. You can also find google colab notebooks and all assignments here. For questions/concerns/bug reports, you can submit a pull request directly to their git repo. πŸ”— https://cs231n.github.io/ #stanford #cnn #visual recognition βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
ACL Year-ROUND Mentorship Incredible opportunity from NLP community of the Association for Computational Linguistics. The students all over the world can apply and get the mentorship in their research career during the whole year! You can discuss anything β€” starting from the choice of the career to the questions how to manage your time and life. More details here: https://mentorship.aclweb.org/Home.html

Data science/ML/AI
Data science/ML/AI
13 690
Undergraduate Machine Learning (Nando de Freitas/University of British Columbia) Author: prof Nando de Freitas 🎬 33 lessons ⏰ 21 hours An undergraduate machine learning course. Lectures are filmed and put on YouTube with the slides posted on the course website. The course assignments are posted as well (no solutions, though). De Freitas is now a full-time professor at the University of Oxford and receives praise for his teaching abilities in various forums. Graduate version available. https://www.cs.ubc.ca/~nando/340-2012/index.php #machinelearning #datascience #statistics βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
Practical Deep Learning for Coders Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD - the book and the course 🎬 8 lessons ⏰ 16 hours https://course.fast.ai/ βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
The Only Probability Cheatsheet You'll Ever Need https://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf source: https://github.com/wzchen/probability_cheatsheet βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 690
https://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12_toc.pdf

Data science/ML/AI
Data science/ML/AI
13 690
document.pdf1.23 MB

Data science/ML/AI
Data science/ML/AI
13 690
Pandas Basics Cheat Sheet Python For Data Science

Data science/ML/AI - Statistics & analytics of Telegram channel @datascience_bds