Machine Learning

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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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Tarmoq:Machine Learning with Python Suriya227 Texnologiyalar & Aralashmalar3 336...

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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 237 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 336-o'rinni va Suriya mintaqasida 227-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 40 237 obunachiga ega bo‘ldi.

04 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 343 ga, so‘nggi 24 soatda esa 16 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 1.92% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.89% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 771 marta ko‘riladi; birinchi sutkada odatda 761 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent distance, insidead, gpu, learning, degree kabi asosiy mavzularga jamlangan.

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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 05 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.

40 237

Obunachilar

+1624 soatlar

+837 kunlar

+34330 kunlar

771

Post ko'rishlar

~ 76124 soatlar

~ 1 00448 soatlar

1.92%

Muloqot nisbati

~ 3

Kuniga postlar

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Postlar arxiv

40 247

📌 Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with… 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-10 | ⏱️ Read time: 13 min read A novel tractable and interpretable algorithm to learn from expert demonstrations

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📌 AdaBoost Classifier, Explained: A Visual Guide with Code Examples 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-10 | ⏱️ Read time: 15 min read Putting the weight where weak learners need it most

40 247

📌 My Medium Journey as a Data Scientist: 6 Months, 18 Articles, and 3,000 Followers 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 10 min read Real numbers, earnings, and data-driven growth strategy for Medium writers

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📌 Advanced Time Series Forecasting With sktime 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Learn how to optimize model hyperparameters and even the architecture in a few lines of…

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📌 Calibrating Marketing Mix Models In Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 12 min read Part 2 of a hands-on guide to help you master MMM in pymc

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📌 Detecting Anomalies in Social Media Volume Time Series 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read How I detect anomalies in social Media volumes: A Residual-Based Approach

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📌 Why ETL-Zero? Understanding the shift in Data Integration 🗂 Category: 🕒 Date: 2024-11-11 | ⏱️ Read time: 11 min read When I was preparing for the Salesforce Data Cloud certification, I came across the term…

40 247

📌 Bessel’s Correction: Why Do We Divide by n−1 Instead of n in Sample Variance? 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-11 | ⏱️ Read time: 9 min read Understanding the Unbiased Estimation of Population Variance

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📌 Decoding One-Hot Encoding: A Beginner’s Guide to Categorical Data 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-11 | ⏱️ Read time: 6 min read Learning to transform categorical data into a format that a machine learning model can understand

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📌 NER in Czech Documents with XLM-RoBERTa using Accelerate 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 10 min read Decisions I made during the development of a document processing model that was successfully deployed

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📌 Economics of Hosting Open Source LLMs 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read Leveraging various deployment options

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📌 From Parallel Computing Principles to Programming for CPU and GPU Architectures 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 23 min read For early ML Engineers and Data Scientists, to understand memory fundamentals, parallel execution, and how…

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📌 Beyond RAG: Precision Filtering in a Semantic World 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 9 min read Aligning expectations with reality by using traditional ML to bridge the gap in a LLM’s…

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📌 Reporting in Excel Could Be Costing Your Business More Than You Think – Here’s How to Fix It… 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-12 | ⏱️ Read time: 7 min read Discover how you can save hours, eliminate costly data errors, and free up your team…

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📌 Boosting Algorithms in Machine Learning, Part II: Gradient Boosting 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-12 | ⏱️ Read time: 11 min read Uncovering a simple yet powerful, award-winning machine learning algorithm

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📌 Game Theory, Part 3 – You are the average of the five people you spend the most time with 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read Is Tit-for-tat the best strategy in the Iterated Prisoner’s Dilemma game?

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📌 Increase Trust in Your Regression Model The Easy Way 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 5 min read How to use Conformalized Quantile Regression

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📌 The Ultimate Guide to Evaluating the Impact of Outlier Treatment in Time Series 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-11-13 | ⏱️ Read time: 22 min read Sensitivity Analysis, Model Validation, Feature Importance & More!

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📌 Nobody Puts AI in a Corner! 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 9 min read Two short anecdotes about transformations, and what it takes if you want to become “AI-enabled”

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📌 Demystifying the Correlation Matrix in Data Science 🗂 Category: DATA SCIENCE 🕒 Date: 2024-11-13 | ⏱️ Read time: 16 min read Understanding the Connections Between Variables: A Comprehensive Guide to Correlation Matrices and Their Applications