uz
Feedback
Data science/ML/AI

Data science/ML/AI

Kanalga Telegram’da o‘tish

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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

Ko'proq ko'rsatish

📈 Telegram kanali Data science/ML/AI analitikasi

Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 690 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 9 384-o'rinni va Hindiston mintaqasida 31 551-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 13 690 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 150 ga, so‘nggi 24 soatda esa 11 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 8.13% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.20% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 112 marta ko‘riladi; birinchi sutkada odatda 301 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent panda, learning, row, api, ethic kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...

Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

13 690
Obunachilar
+1124 soatlar
+227 kunlar
+15030 kunlar
Postlar arxiv
Amazing Hackthon Solved Data Science/ML Project Collection ⭐️ 167 https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions

Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner,
Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model. FALDetector: Github: https://github.com/peterwang512/FALdetector Project page: https://peterwang512.github.io/FALdetector/ Installation tutorial: https://www.youtube.com/watch?v=fZSWAsjwQpE Paper: https://arxiv.org/pdf/1906.05856.pdf

Gently down the stream A gentle introduction to Apache Kafka Written and illustrated by Mitch Seymor Learn about Kafka in a way i am sure you haven't seen before 😊 https://www.gentlydownthe.stream/

super-cheatsheet-machine-learning-2.pdf1.26 MB

Data Preparation in SQL, with Cheat Sheet!
Data Preparation in SQL, with Cheat Sheet!

Deep learning with Python: ⭐️ 12.9k https://github.com/fchollet/deep-learning-with-python-notebooks Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

How to choose a database-type and technology for your project:
How to choose a database-type and technology for your project:

Machine Learning University: Accelerated Natural Language Processing Class 1.6k stars 368 forks https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp Join @github_repositories_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Fully Connected Neural Networks with Keras n this course, we'll build three different neural networks with Keras, using Tensorflow for the backend. Keras is a high level API for building neural networks, and makes it very easy to get started with only a few lines of code. 🔗 Neural Networks with Keras free course link

Dannjs - Easy Deep Neural Networks for the Web 🔗 https://dannjs.org
Dannjs - Easy Deep Neural Networks for the Web 🔗 https://dannjs.org

👩‍🎓Online lectures on Special Topics in AI: Deep Learning Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more. Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html #wheretostart #lectures #YouTube

One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.

41 Essential Machine Learning Interview QnAs-1.pdf8.07 KB

Great GitHub repository containing many Google colabs with latest's Deep Learning Models *Text-to-speach *Speech recognition *Object detection *Pose detection *Segmentation *GANs https://github.com/tugstugi/dl-colab-notebooks

PDF from previous repository.

GitHub repo containing machine learning cheatsheet with code: https://github.com/soulmachine/machine-learning-cheat-sheet 👉 @bigdataspecialist

Machine learning.pdf5.31 MB

Core machine learning concepts explained through memes and simple charts. This 120-pages pdf document is created by Mihail Eric.

Data science/ML/AI - Telegram kanali @datascience_bds statistikasi va tahlili