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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 94 001 名订阅者,在 教育 类别中位列第 1 568,并在 印度 地区排名第 3 028

📊 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 94 001 名订阅者。

根据 23 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 993,过去 24 小时变化为 92,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 7.92%。内容发布后 24 小时内通常能获得 1.62% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 7 435 次浏览,首日通常累积 1 526 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 24 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。

94 001
订阅者
+9224 小时
+1097
+99330
帖子存档
🚀 TrajectoryCrafter (Moving-Camera Diffusion) is a new tool from Tencent that offers a new approach to redirecting camera trajectories in monochrome videos. How the model works: 🌟 Initialization : starts with an existing camera trajectory or even pure noise. This sets the initial state that the model will gradually improve. The model uses two types of input data simultaneously: rendered point clouds (3D representations of scenes) and source videos. 🌟 Diffusion process: The model learns to “clean up” random noise step by step, turning it into a sequence of trajectories. At each step, iterative refinement occurs — the model predicts what a more realistic trajectory should look like, based on given conditions (e.g., smoothness of motion, and consistency of the scene). Instead of using only videos taken from different angles, the authors created a training set by combining extensive monocular videos (with a regular camera) with limited but high-quality multi-view videos. This strategy is achieved using what is called “double reprojection”, which helps the model better adapt to different scenes. 🌟 Generating the final trajectory: After a series of iterations, when the noise is removed, a new camera trajectory is generated that meets the given conditions and has high quality visual dynamics. Installation : git clone --recursive https://github.com/TrajectoryCrafter/TrajectoryCrafter.git cd TrajectoryCrafter 🖥 Github 🟡 Article 🟡 Project 🟡 Demo 🟡 Video

📱Artificial intelligence 📱AI Projects with Python, TensorFlow, and NLTK

🔅 AI Projects with Python, TensorFlow, and NLTK 📝 Supercharge your technical know-how and start building AI projects using
🔅 AI Projects with Python, TensorFlow, and NLTK 📝 Supercharge your technical know-how and start building AI projects using Python, TensorFlow, and NLTK. 🌐 Author: Dhhyey Desai 🔰 Level: Intermediate ⏰ Duration: 24m 📋 Topics: TensorFlow, Artificial Intelligence, NLTK 🔗 Join Artificial intelligence for more courses

💡 20 Concepts In LLMs
💡 20 Concepts In LLMs

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 Web Development -◦-◦--◦--◦-◦--◦--◦-◦-- 221k| 🔰 Linkedin Learning 139k| 🔰 Udemy Premium 134k| 🔰 Web Development -◦-◦--◦- 118k| 🔰 Python 3 100k| 🔰 JavaScript Training 089k| 🔰 Machine Learning -◦-◦--◦- 068k| 🔰 Data Analysis and Databases 068k| 🔰 Artificial Intelligence 064k| 🔰 React and NextJs -◦-◦--◦- 062k| 🔰 Linux and DevOps 049k| 🔰 100 Days of Python 048k| 🔰 OpenAI Mastery -◦-◦--◦- 047k| 🔰 Business and Finance 045k| 🔰 Best Telegram Channels 041k| 🔰 Udemy Learning -◦-◦--◦- 040k| 🔰 Zero to Mastery 040k| 🔰 Mobile Apps 036k| 🔰 Linkedin Learning Courses -◦-◦--◦- 035k| 🔰 Codedamn Courses 034k| 🔰 React 101 031k| 🔰 Crypto Tutorials -◦-◦--◦- 030k| 🔰 Coding Interview 025k| 🔰 Telegram's Shorts 022k| 🔰 Linux Training -◦-◦--◦- 022k| 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

🔆 Random Forest explained
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🔆 Random Forest explained

📱Artificial intelligence 📱Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications

🔅 Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications 📝 Discover the core conce
🔅 Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications 📝 Discover the core concepts of successful AI applications using LLMs to achieve high levels of performance and accuracy. 🌐 Author: Guy Ernest 🔰 Level: Advanced ⏰ Duration: 1h 47m 📋 Topics: Retrieval-Augmented Generation, Large Language Models, Artificial Intelligence 🔗 Join Artificial intelligence for more courses

🔗 Master AI in 2026
🔗 Master AI in 2026

💡 9 AI Skills to Master in 2026 It’s the infrastructure behind how smart businesses run today. The gap between users and exp
💡 9 AI Skills to Master in 2026 It’s the infrastructure behind how smart businesses run today. The gap between users and experts is closing fast. But the gap between curiosity and capability is getting wider. The difference comes down to skill, not just tools. These are the nine that matter most in 2026. Each one compounds the rest and turns AI from novelty into leverage. 1⃣ Prompt Engineering to ask better questions and get sharper answers 🔢 AI Workflow Automation to connect apps and remove repetitive work 🔢 AI Agents to build systems that act without human input 🔢 Retrieval-Augmented Generation (RAG) to give models access to your own data 🔢 Fine-Tuning and Custom GPTs to train models for your goals and tone 🔢 Multimodal AI to mix text, image, and audio in one workflow 🔢 AI Video Generation to turn ideas into content without editing tools 🔢 AI Tool Stacking to link platforms into a single automated system 🔢 LLM Evaluation and Management to measure accuracy, cost, and performance

💡 13 Practical Steps For Creating an AI Agent
💡 13 Practical Steps For Creating an AI Agent

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 Web Development -◦-◦--◦--◦-◦--◦--◦-◦-- 221k| 🔰 Linkedin Learning 139k| 🔰 Udemy Premium 134k| 🔰 Web Development -◦-◦--◦- 118k| 🔰 Python 3 100k| 🔰 JavaScript Training 089k| 🔰 Machine Learning -◦-◦--◦- 068k| 🔰 Artificial Intelligence 068k| 🔰 Data Analysis and Databases 064k| 🔰 React and NextJs -◦-◦--◦- 061k| 🔰 Linux and DevOps 049k| 🔰 100 Days of Python 048k| 🔰 OpenAI Mastery -◦-◦--◦- 047k| 🔰 Business and Finance 045k| 🔰 Best Telegram Channels 040k| 🔰 Udemy Learning -◦-◦--◦- 040k| 🔰 Zero to Mastery 040k| 🔰 Mobile Apps 035k| 🔰 Linkedin Learning Courses -◦-◦--◦- 035k| 🔰 Codedamn Courses 034k| 🔰 React 101 031k| 🔰 Crypto Tutorials -◦-◦--◦- 030k| 🔰 Coding Interview 025k| 🔰 Telegram's Shorts 022k| 🔰 Linux Training -◦-◦--◦- 022k| 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

📱Artificial intelligence 📱Natural Language Processing (NLP) on Amazon Bedrock

🔅 Natural Language Processing (NLP) on Amazon Bedrock 📝 This course addresses natural language AI tasks using Bedrock's LLM
🔅 Natural Language Processing (NLP) on Amazon Bedrock 📝 This course addresses natural language AI tasks using Bedrock's LLMs, Amazon Q capabilities, and SageMaker NLP models. 🌐 Author: Noah Gift 🔰 Level: Intermediate ⏰ Duration: 56m 📋 Topics: Amazon Bedrock, Large Language Models, Natural Language Processing 🔗 Join Artificial intelligence for more courses

💡 The AI Universe This visual guide clearly illustrates the different layers and concepts within Artificial Intelligence, Ma
💡 The AI Universe This visual guide clearly illustrates the different layers and concepts within Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.

Telegram: Launch @argo Ever wondered how to find all kinds of Telegram gems in seconds? TryArgo Search 🔍: one resource, endl
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Telegram: Launch @argo Ever wondered how to find all kinds of Telegram gems in seconds? TryArgo Search 🔍: one resource, endless channels, trending groups, fresh news, music, movies — all at your fingertips. What will you discover today? 🚀 👉 Explore now!!

🔗 7 Advanced Retriever Architecture
🔗 7 Advanced Retriever Architecture

🔗 Machine Learning Cheat Sheet
🔗 Machine Learning Cheat Sheet

📱Artificial intelligence 📱Everyday AI Concepts

🔅 Everyday AI Concepts 📝 Learn key artificial intelligence concepts and discover how AI can benefit your team, organization
🔅 Everyday AI Concepts 📝 Learn key artificial intelligence concepts and discover how AI can benefit your team, organization, products, and services. 🌐 Author: Doug Rose 🔰 Level: General ⏰ Duration: 49m 📋 Topics: Artificial Intelligence for Business 🔗 Join Artificial intelligence for more courses