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AI and Machine Learning

AI and Machine Learning

前往频道在 Telegram

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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📈 Telegram 频道 AI and Machine Learning 的分析概览

频道 AI and Machine Learning (@machine_learning_courses) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 94 073 名订阅者,在 教育 类别中位列第 1 556,并在 印度 地区排名第 3 013

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 94 073 名订阅者。

根据 25 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 981,过去 24 小时变化为 47,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 6.77%。内容发布后 24 小时内通常能获得 2.34% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 6 370 次浏览,首日通常累积 2 203 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 9
  • 主题关注点: 内容集中在 learning, llm, linkedin, linux, udemy 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

凭借高频更新(最新数据采集于 26 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

94 073
订阅者
+4724 小时
+1877
+98130
帖子存档
📂 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 “intelligence.” 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.

🔅 Introduction to Artificial Intelligence 🌐 Author: Doug Rose 🔰 Level: Beginner ⏰ Duration: 2h 26m 🌀 Get an overview of s
🔅 Introduction to Artificial Intelligence 🌐 Author: Doug Rose 🔰 Level: BeginnerDuration: 2h 26m
🌀 Get an overview of some of the latest tools and techniques in predictive and generative artificial intelligence (AI).
📗 Topics: Artificial Intelligence 📤 Join Artificial intelligence for more courses

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

⚠️👆 This post will be deleted after 24 hours 👆⚠️

@machine_learning_courses AI Engineering.pdf11.63 MB

📚 AI Engineering: Building Applications with Foundation Models 1st Original Price: 57$
📚 AI Engineering: Building Applications with Foundation Models 1st Original Price: 57$

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

🔅 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

🔗 How to use Machine Learning to predict fraud
🔗 How to use Machine Learning to predict fraud

🎯 More Spins, More Tokens. Magic Spin just got an upgrade! 🔥 Bigger Rewards, Bigger Wins! 🚀 PEPE Airdrop Rewards Skyrocket
🎯 More Spins, More Tokens. Magic Spin just got an upgrade! 🔥 Bigger Rewards, Bigger Wins! 🚀 PEPE Airdrop Rewards Skyrocket 500%! Spin to Win up to 88,888 PEPE! 💯Newbies Guaranteed a Prize! Join Now 👉 Magic Spin on MEXC

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

AI is getting out of hand 😂 Baby Joe and Baby Theo Von

🔗 Life-cycle of Machine Learning Model
🔗 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

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

🔗 RAG Developer Stack
🔗 RAG Developer Stack

🔗 Machine Learning Algorithms
🔗 Machine Learning Algorithms

👆 ⚠️ This post will be deleted after 24 hours ⚠️ 👆

Designing Machine Learning Systems.pdf15.49 MB

📚 Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
📚 Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications