uz
Feedback
Machine Learning

Machine Learning

Kanalga Telegram’da o‘tish

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

Ko'proq ko'rsatish

📈 Telegram kanali Machine Learning analitikasi

Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 191 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 381-o'rinni va Suriya mintaqasida 228-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 40 191 obunachiga ega bo‘ldi.

01 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 355 ga, so‘nggi 24 soatda esa 21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.04% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 818 marta ko‘riladi; birinchi sutkada odatda 851 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 2 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Real Machine Learning — simple, practical, and built on experience. Learn step by step with clear explanations and working code. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 02 Iyul, 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.

40 191
Obunachilar
+2124 soatlar
+857 kunlar
+35530 kunlar
Postlar arxiv
📌 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