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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
Ko'proq ko'rsatish
Tarmoq:📈 Telegram kanali Data science/ML/AI analitikasi
Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 905 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 911-o'rinni va Hindiston mintaqasida 28 819-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 13 905 obunachiga ega bo‘ldi.
30 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 90 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 7.35% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.05% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 022 marta ko‘riladi; birinchi sutkada odatda 285 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 31 Avgust, 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.
13 905
Obunachilar
+724 soatlar
+17 kunlar
+9030 kunlar
Postlar arxiv
13 906
Free Machine Learning Courses
Machine Learning with Python: Zero to GBMs
🎬 Watch hands-on coding-focused video tutorials
🧮 Practice coding with cloud Jupyter notebooks
💻 Build an end-to-end real-world course project
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📊 You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world datasets
🔗 Course Link
MIT RES.LL-005 Mathematics of Machine Learning and Big Data, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
Introduction to Machine Learning, IIT Kharagpur
🆓 Free Online Course
💻 44 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. S. Sarkar
🔗 Course Link
Machine Learning Crash Course
🧮 30+ Exercises
⏰ 15 hours
💻 Real-world case studies
📜 Lectures from Google researchers
📊 Interactive visualizations
🔗 Course Link
FOUNDATIONS OF MACHINE LEARNING
by Bloomberg
Understand the Concepts, Techniques and Mathematical Frameworks Used by Experts in Machine Learning
🎬 30 video lessons with slides
⏰ 28 hours
🔗 Course Link
Introduction to Machine Learning (Fall 2020)
By Massachusetts Institute of Technology, MIT
🎬 Video Lectures
⏰ Length: 13 weeks
🏃♂️ Self paced
Source: MIT
🔗 Course link
Introduction to Machine Learning Problem Framing
By Google
⏰ Length: 1 hour
🏃♂️ Self paced
Source: Google
🔗 Course link
Undergraduate Machine Learning (Nando de Freitas/University of British Columbia)
Author: prof Nando de Freitas
🎬 33 lessons
⏰ 21 hours
🏃♂️ Self paced
Source: YouTube
🔗 Course link
Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
🎬 60 Videos
⏰ 30h
🔗 Course link
Books
Mathematics for Machine Learning
Approaching (Almost) Any Machine Learning Problem
Machine Learning
GitHub Repositories
Machine Learning University: Accelerated Natural Language Processing Class
Hands on ML notebook series
Machine learning cheat sheet with code
Article
Machine Learning is Fun!
#Machine_Learning
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👉Join @bigdataspecialist for more👈
13 906
Free Data Courses
Master course of Data Modeling
🎬 5video lesson
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Source: Udemy
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Python for Machine Learning with Numpy, Pandas & Matplotlib
🎬 5video lesson
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Source: Udemy
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🎬 33 video lesson
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🏃♂️ Self paced
Source: Udemy
🔗 CLICK ME
This is free for the first 1000 enrolls.
#data_engineering #ml #deeplearning #python
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Join @datascience_bds for more cool data science materials.
*This channel belongs to* @bigdataspecialist group
13 906
Want to learn python programming like a pro. Checkout our channel @pyguru python where we provide
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13 906
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13 906
![Data Science and Machine Learning [PDF] Mathematical and Statistical Methods Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre,](https://cdn.tlmtr.io/_next/static/media/empty-channel.35ed232f.svg)
Data Science and Machine Learning [PDF]
Mathematical and Statistical Methods
Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman
8th May 2022
533 pages
🔗 Read online
13 906
Free Big Data Courses
Complete Big Data
🎬 13 video lesson
Duration ⏰: 2-3 hours worth of material
🏃♂️ Self paced
Source: Class Central
🔗 COURSE LINK
Big Data 101 (Login Required)
⏳Modules: 6
Duration ⏰: 3 hours worth of material
🏃♂️ Self paced
Source: IBM via Cognitive Class
🔗 COURSE LINK
Introduction to Big Data - an overview of the 10 V's
Rating⭐️: 4.4 out 5
Students 👨🎓 :15,630
Duration ⏰ : 40min of on-demand video
Teacher 👨🏫: Taimur Zahid
🔗 COURSE LINK
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
🎬 20 video lesson
Duration ⏰: 14 hours worth of material
🏃♂️ Self paced
Source: MIT open courseware
🔗 Course Link
NOC:Big Data Computing, IIT Patna
🎬 35 video lesson
⏰ 8 Modules
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Source: NPTEL
🔗 COURSE LINK
Algorithms for Big Data (COMPSCI 229r)
🎬 25 video lesson
Duration ⏰: 34 hours worth of material
🏃♂️ Self paced
Source: Harvard University
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NOC:Algorithms for Big Data, IIT Madras
🎬 48 video lesson
⏰ 8 Modules
Taught by: Prof. John Augustine
Source: NPTEL
🔗 COURSE LINK
Big Data Hadoop Tutorial for Beginners
🎬 17 video lesson
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Source: Great Learning
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Big Data Analytics Full Course In 10 Hours | Big Data Hadoop Tutorial
🎬 5 video lesson
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Source: Great Learning
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Big Data Analytics
⏰ Free Online Course
🎬 70 video lesson
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Source: caltech via youtube
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Stanford Seminar - Big Data is (at least) Four Different Problems
⏰ Free Online Course
🎬 27 video lesson
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#Big_Data
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👉Join @bigdataspecialist for more👈
13 906
Free Data Mining Courses
NOC:Data Mining, IIT Kharagpur
🎬 44 video lesson
⏰ 8 Modules
Taught by: Prof. Pabitra Mitra
Source: NPTEL
🔗 COURSE LINK
Data Mining for Beginners | Data Mining Full course | Learn Data Mining in 10 Hours | Great Learning
🎬 17 video lesson
Duration ⏰ : 10 hours worth of material
🏃♂️ Self paced
Source: Great Learning
🔗 COURSE LINK
NOC:Business analytics and data mining Modeling using R, IIT Roorkee
🎬 56 video lesson
⏰ 12 Modules
🔗 COURSE LINK
NOC:Business Analytics & Data Mining Modeling Using R Part II, IIT Roorkee
🎬 20 video lesson
⏰ 4 Modules
🔗 COURSE LINK
Taught by: Dr. Gaurav Dixit
Source: NPTEL
Data Mining with Weka MOOC
✅ Free Online Course
🧱 5 modules
🎬 Video Lectures
🏃♂️ Self paced
Source: University of Waikato
Taught by: Ian H. Witten
🔗 Course Link
WEKA - Data Mining with Open Source Machine Learning Tool
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Data Mining Crash Course
🎬 6 video lesson
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Source: Data Science Dojo
🔗 Course Link
Clustering in Data mining | K means Clustering Algorithm | Hierarchical Clustering | Great Learning
🎬 86 video lesson
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Source: Great Learning
🔗 Course Link
Mining Online Data Across Social Networks
⏰ Free Online Course
🎬 30 video lesson
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Source: Class Central
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DATA MINING (DM)
⏰ Free Online Course
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#Data_Mining
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👉Join @bigdataspecialist for more👈
13 906
Applications of Deep Neural Networks
Washington University in St. Louis
https://sites.wustl.edu/jeffheaton/t81-558/
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 906
NOC: Reinforcement Learning, IIT Madras
🆓 Free Online Course
💻 65 Lecture Videos
⏰ 12 Modules
🏃♂️ Self paced
Teacher 👨🏫 : Dr. B. Ravindran
🔗 https://nptel.ac.in/courses/106106143
#Reinforcement_Learning #IIT
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13 906
Hey folks, this week's round of our programming quiz league is about data science. Here is the quiz link:
http://t.me/QuizBot?start=H4Ow9sU8
Feel free to answer on those 8 short questions and let me know about your placement on final score.
Also to those who celebrate today I wish Merry Christmas 🎄🥳😊
13 906
DIVE INTO DEEP LEARNING ||d2l.ai
Here's an Interactive deep learning book with code, math, and discussions.
Implemented with PyTorch, NumPy/MXNet, and TensorFlow.
Book Link : https://d2l.ai/
GitHub Repo: https://github.com/d2l-ai/d2l-en
Stars: 15.7K
Forks:3.4K
#deep_learning #pyTorch #numPy #MXNet #TensorFlow #neural_networks
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 906
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job.
Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give users a bit of a rough guide on how to approach problems with regard to which estimators to try on your data.
Source: Scikit-learn
13 906
Graphic SQL reference for data manipulation
Source: https://raw.githubusercontent.com/kelsfarmer/SQL/master/SQL%20Data%20Manipulation%20Language%20Cheat%20Sheet.png
