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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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πŸ“ˆ Analytical overview of Telegram channel AI and Machine Learning

Channel AI and Machine Learning (@machine_learning_courses) in the English language segment is an active participant. Currently, the community unites 94 021 subscribers, ranking 1 561 in the Education category and 3 020 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 94 021 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 986 over the last 30 days and by 67 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 6.50%. Within the first 24 hours after publication, content typically collects 1.56% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 6 109 views. Within the first day, a publication typically gains 1 470 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as learning, llm, linkedin, linux, udemy.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses”

Thanks to the high frequency of updates (latest data received on 25 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 Education category.

94 021
Subscribers
+6724 hours
+1517 days
+98630 days
Posts Archive
πŸ“‚ Full description Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. Theyre professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible.This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display β€œintelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, youll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems.This course is part of a Professional Certificate from Microsoft.This course is part of a Professional Certificate from Microsoft.

πŸ”… Introduction to Artificial Intelligence 🌐 Author: Doug Rose πŸ”° Level: Beginner ⏰ Duration: 2h 26m πŸŒ€ Get an overview of s
πŸ”… Introduction to Artificial Intelligence 🌐 Author: Doug Rose πŸ”° Level: Beginner ⏰ Duration: 2h 26m
πŸŒ€ Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).
πŸ“— Topics: Artificial Intelligence πŸ“€ Join Artificial intelligence for more courses

🧠 Learn AI in 15 Steps
🧠 Learn AI in 15 Steps

βš οΈπŸ‘† This post will be deleted after 24 hours πŸ‘†βš οΈ

@machine_learning_courses AI Engineering.pdf11.63 MB

πŸ“š AI Engineering: Building Applications with Foundation Models 1st Original Price: 57$
πŸ“š AI Engineering: Building Applications with Foundation Models 1st Original Price: 57$

πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 219k| πŸ”° Linkedin Learning Courses 132k| πŸ”° Premium Udemy Courses 129k| πŸ”° Web Development -β—¦-β—¦--β—¦- 110k| πŸ”° Learn Python 097k| πŸ”° JavaScript Courses 080k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 064k| πŸ”° DevOps Tutorials 061k| πŸ”° Learn React and NextJs 061k| πŸ”° Data Analysis and Databases -β—¦-β—¦--β—¦- 054k| πŸ”° Linux and DevOps 046k| πŸ”° 100 Days of Python 044k| πŸ”° Best Telegram Channels -β—¦-β—¦--β—¦- 042k| πŸ”° ChatGPT Mastery 042k| πŸ”° Business Training 037k| πŸ”° Mobile Development -β—¦-β—¦--β—¦- 037k| πŸ”° Zero to Mastery 036k| πŸ”° Udemy Learning 033k| πŸ”° Codedamn Courses -β—¦-β—¦--β—¦- 033k| πŸ”° Linkedin Learning 032k| πŸ”° React 101 030k| πŸ”° Crypto Lessons -β—¦-β—¦--β—¦- 028k| πŸ”° Coding Interview 024k| πŸ”° Telegram's Shorts -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

πŸ”… AI Engineering in 76 Minutes (Complete Course/Speedrun!)
All images are from the book AI Engineering unless otherwise credited.
⏰ Timestamps 00:00 What is AI Engineering? 01:49 Understanding Foundation Models 08:40 Evaluating AI Models 14:50 Model Selection 23:15 Prompt Engineering 30:20 RAG and Context Construction 36:56 Agents and Memory Systems 43:02 Finetuning 52:40 Dataset Engineering 59:45 Inference Optimization 01:09:01 Architecture and User Feedback

πŸ”— How to use Machine Learning to predict fraud
πŸ”— How to use Machine Learning to predict fraud

🎯 More Spins, More Tokens. Magic Spin just got an upgrade! πŸ”₯ Bigger Rewards, Bigger Wins! πŸš€ PEPE Airdrop Rewards Skyrocket
🎯 More Spins, More Tokens. Magic Spin just got an upgrade! πŸ”₯ Bigger Rewards, Bigger Wins! πŸš€ PEPE Airdrop Rewards Skyrocket 500%! Spin to Win up to 88,888 PEPE! πŸ’―Newbies Guaranteed a Prize! Join Now πŸ‘‰ Magic Spin on MEXC

πŸ”— AI Agents βœ… An AI agent roadmap outlines the steps and skills needed to develop and deploy autonomous AI systems. βœ… This i
πŸ”— AI Agents βœ… An AI agent roadmap outlines the steps and skills needed to develop and deploy autonomous AI systems. βœ… This includes foundational skills in programming, AI/ML concepts, and data handling, progressing to more advanced topics like NLP, LLMs, and agentic frameworks. βœ… The roadmap also emphasizes practical experience through projects, community engagement, and potentially, internships or open-source contributions.

AI is getting out of hand πŸ˜‚ Baby Joe and Baby Theo Von

πŸ”— Life-cycle of Machine Learning Model
πŸ”— Life-cycle of Machine Learning Model

Percentage of Business Owners who are using AI in this way
Percentage of Business Owners who are using AI in this way

πŸ”… PREMIUM CHANNELS -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° The Coding Space -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- 218k| πŸ”° Linkedin Learning Courses 131k| πŸ”° Premium Udemy Courses 129k| πŸ”° Web Development -β—¦-β—¦--β—¦- 109k| πŸ”° Learn Python 097k| πŸ”° JavaScript Courses 080k| πŸ”° Machine Learning -β—¦-β—¦--β—¦- 064k| πŸ”° DevOps Tutorials 061k| πŸ”° Learn React and NextJs 060k| πŸ”° Data Analysis and Databases -β—¦-β—¦--β—¦- 053k| πŸ”° Linux and DevOps 045k| πŸ”° 100 Days of Python 044k| πŸ”° Best Telegram Channels -β—¦-β—¦--β—¦- 042k| πŸ”° ChatGPT Mastery 042k| πŸ”° Business Training 037k| πŸ”° Mobile Development -β—¦-β—¦--β—¦- 037k| πŸ”° Zero to Mastery 036k| πŸ”° Udemy Learning 033k| πŸ”° Codedamn Courses -β—¦-β—¦--β—¦- 033k| πŸ”° Linkedin Learning 032k| πŸ”° React 101 030k| πŸ”° Crypto Lessons -β—¦-β—¦--β—¦- 028k| πŸ”° Coding Interview 023k| πŸ”° Telegram's Shorts -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦-- πŸ”° Add Your Channel -β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦--β—¦-β—¦--β—¦- πŸ”° 2hrs on top & 8hrs in channel!

πŸ”— RAG Developer Stack
πŸ”— RAG Developer Stack

πŸ”— Machine Learning Algorithms
πŸ”— Machine Learning Algorithms

πŸ‘† ⚠️ This post will be deleted after 24 hours ⚠️ πŸ‘†

Designing Machine Learning Systems.pdf15.49 MB

πŸ“š Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
πŸ“š Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications