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Machine Learning

Machine Learning

前往频道在 Telegram

Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Telegram 频道 Machine Learning 的分析概览

频道 Machine Learning (@machinelearning9) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 40 191 名订阅者,在 技术与应用 类别中位列第 3 381,并在 叙利亚 地区排名第 228

📊 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 40 191 名订阅者。

根据 01 七月, 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 355,过去 24 小时变化为 21,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 2.04%。内容发布后 24 小时内通常能获得 2.12% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 818 次浏览,首日通常累积 851 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 2
  • 主题关注点: 内容集中在 distance, insidead, gpu, learning, degree 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:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

凭借高频更新(最新数据采集于 02 七月, 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 技术与应用 类别中的关键影响点。

40 191
订阅者
+2124 小时
+857
+35530
帖子存档
📌 The Math Behind Keras 3 Optimizers: Deep Understanding and Application 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-17 | ⏱️
📌 The Math Behind Keras 3 Optimizers: Deep Understanding and Application 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-17 | ⏱️ Read time: 9 min read This is a bit different from what the books say.

📌 Massive Energy for Massive GPU Empowering AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-18 | ⏱️ Read time: 7 min read
📌 Massive Energy for Massive GPU Empowering AI 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-18 | ⏱️ Read time: 7 min read Massive GPUs for AI model training and deployment require significant energy. As AI scales, optimizing…

📌 How to Talk to a PDF File Without Using Proprietary Models: CLI + Streamlit + Ollama 🗂 Category: MACHINE LEARNING 🕒 Date
📌 How to Talk to a PDF File Without Using Proprietary Models: CLI + Streamlit + Ollama 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 17 min read A contribution to the creation of a locally executed, free PDF chat app with Streamlit…

📌 Heckman Selection Bias Modeling in Causal Studies 🗂 Category: STATISTICS 🕒 Date: 2024-08-14 | ⏱️ Read time: 9 min read H
📌 Heckman Selection Bias Modeling in Causal Studies 🗂 Category: STATISTICS 🕒 Date: 2024-08-14 | ⏱️ Read time: 9 min read How selection bias is related to the identification assumptions of OLS, and what steps should…

📌 VAE for Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 11 min read Generate realistic seque
📌 VAE for Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 11 min read Generate realistic sequential data with this easy-to-train model

📌 Must-Know Techniques for Handling Big Data in Hive 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min rea
📌 Must-Know Techniques for Handling Big Data in Hive 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 8 min read HQL’s Unique Features- PARTITIONED BY, STORED AS, DISTRIBUTE BY / CLUSTER BY, LATERAL VIEW with…

📌 Must-Know in Statistics: The Bivariate Normal Projection Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read
📌 Must-Know in Statistics: The Bivariate Normal Projection Explained 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read Derivation and practical examples of this powerful concept

📌 Dummy Classifier Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08
📌 Dummy Classifier Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 7 min read Setting the Bar in Machine Learning with Simple Baseline Models

📌 Towards Mamba State Space Models for Images, Videos and Time Series 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-14 | ⏱️ Re
📌 Towards Mamba State Space Models for Images, Videos and Time Series 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-14 | ⏱️ Read time: 20 min read Part 1

📌 How to Create Well-Styled Streamlit Dataframes, Part 1: Using the Pandas Styler 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08
📌 How to Create Well-Styled Streamlit Dataframes, Part 1: Using the Pandas Styler 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-14 | ⏱️ Read time: 6 min read Streamlit and the pandas Styler object are not friends. But, we will change that!

📌 Vision Transformers, Contrastive Learning, Causal Inference, and Other Deep Dives You Shouldn’t Miss 🗂 Category: DATA SCI
📌 Vision Transformers, Contrastive Learning, Causal Inference, and Other Deep Dives You Shouldn’t Miss 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 3 min read Our weekly selection of must-read Editors’ Picks and original features

📌 A Fresh Look at Nonlinearity in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read Th
📌 A Fresh Look at Nonlinearity in Deep Learning 🗂 Category: DEEP LEARNING 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read The traditional reasoning behind why we need nonlinear activation functions is only one dimension of…

📌 5 Ways You Are Sabotaging AI As A Leader 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min re
📌 5 Ways You Are Sabotaging AI As A Leader 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 9 min read The key mistakes that are derailing AI potential and burning investment

📌 Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-1
📌 Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 7 min read Data science is at its best out in the real world. I intend to share…

📌 From Surrogate Modelling to Aerospace Engineering: a NASA Case Study 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08
📌 From Surrogate Modelling to Aerospace Engineering: a NASA Case Study 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 12 min read This is how Surrogate Modelling is revolutionizing the world of Aerospace Engineering, from theory to…

📌 Simplify Information Extraction: A Reusable Prompt Template for GPT Models 🗂 Category: CHATGPT 🕒 Date: 2024-08-15 | ⏱️ R
📌 Simplify Information Extraction: A Reusable Prompt Template for GPT Models 🗂 Category: CHATGPT 🕒 Date: 2024-08-15 | ⏱️ Read time: 8 min read A prompt template containing prompting techniques that have worked for me on over a dozen…

📌 Powering Experiments with CUPED and Double Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time:
📌 Powering Experiments with CUPED and Double Machine Learning 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 19 min read Causal AI, exploring the integration of causal reasoning into machine learning

From solo miners to small teams, Padma scales with you: structured quests for beginners, leaderboard challenges for pros, and
From solo miners to small teams, Padma scales with you: structured quests for beginners, leaderboard challenges for pros, and staking to keep assets productive. Start light, measure results, and ramp strategically. Start! #ad InsideAds

📌 From Basics to Advanced: Exploring LangGraph 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 25 m
📌 From Basics to Advanced: Exploring LangGraph 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-08-15 | ⏱️ Read time: 25 min read Building single- and multi-agent workflows with human-in-the-loop interactions

📌 Step-by-Step Guide for Building Interactive Calendars in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read ti
📌 Step-by-Step Guide for Building Interactive Calendars in Plotly 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-16 | ⏱️ Read time: 7 min read Create interactive calendars with heatmaps using Plotly