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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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Machine Learning (@machinelearning9) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 310 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 332-o'rinni va Suriya mintaqasida 225-o'rinni egallagan.

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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 10 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.

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Postlar arxiv
📌 Nine Pico PIO Wats with MicroPython (Part 1) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-23 | ⏱️ Read time: 19 min read Rasp
📌 Nine Pico PIO Wats with MicroPython (Part 1) 🗂 Category: PROGRAMMING 🕒 Date: 2025-01-23 | ⏱️ Read time: 19 min read Raspberry Pi programmable IO pitfalls illustrated with a musical example

📌 Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing 🗂 Category: DATA SCIENC
📌 Real World Use Cases: Strategies that Will Bridge the Gap Between Development and Productionizing 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-23 | ⏱️ Read time: 9 min read Data science demonstrates its value when applied to practical challenges. This article shares insights gained…

“I thought I knew wine—until I uncovered the secret behind tasting ‘buttery’ Chardonnays and velvety reds. Turns out, the rea
“I thought I knew wine—until I uncovered the secret behind tasting ‘buttery’ Chardonnays and velvety reds. Turns out, the real magic isn’t on the label… Curious what most wine lovers miss? Discover the truth right here 🍷 #إعلان InsideAds

📌 Building Successful AI Apps: The Dos and Don’ts 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-23 | ⏱️ Read time: 4 min read O
📌 Building Successful AI Apps: The Dos and Don’ts 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-23 | ⏱️ Read time: 4 min read Our weekly selection of must-read Editors’ Picks and original features

📌 Simplicity Over Black Boxes 🗂 Category: ANALYTICS 🕒 Date: 2025-01-23 | ⏱️ Read time: 7 min read Turning complex ML model
📌 Simplicity Over Black Boxes 🗂 Category: ANALYTICS 🕒 Date: 2025-01-23 | ⏱️ Read time: 7 min read Turning complex ML models into simple, interpretable rules with Human Knowledge Models for actionable insights…

📌 The Solar Cycle(s): history, data analysis and trend forecasting. 🗂 Category: ANALYTICS 🕒 Date: 2025-01-23 | ⏱️ Read tim
📌 The Solar Cycle(s): history, data analysis and trend forecasting. 🗂 Category: ANALYTICS 🕒 Date: 2025-01-23 | ⏱️ Read time: 14 min read A brief article on the Solar Cycles: data analysis and time series forecasting for the…

📌 On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-23 | ⏱️ Rea
📌 On a Time Crunch but Still Want to Learn to Develop Multi-Agent AI? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-23 | ⏱️ Read time: 15 min read These 3 starter projects only take a weekend (and a few cups of coffee, maybe)

📌 Apollo and Design Choices of Video Large Multimodal Models (LMMs) 🗂 Category: META 🕒 Date: 2025-01-23 | ⏱️ Read time: 13
📌 Apollo and Design Choices of Video Large Multimodal Models (LMMs) 🗂 Category: META 🕒 Date: 2025-01-23 | ⏱️ Read time: 13 min read Let’s Explore Major Design Choices from Meta’s Apollo Paper

📌 Building Research Agents for Tech Insights 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-13 | ⏱️ Read time: 10 min read Using a
📌 Building Research Agents for Tech Insights 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-13 | ⏱️ Read time: 10 min read Using a controlled workflow, unique data & prompt chaining

📌 A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 D
📌 A Derivation and Application of Restricted Boltzmann Machines (2024 Nobel Prize) 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-23 | ⏱️ Read time: 8 min read Investigating Geoffrey Hinton’s Nobel Prize-winning work and building it from scratch using PyTorch

📌 Does It Matter That Online Experiments Interact? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read
📌 Does It Matter That Online Experiments Interact? 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read What interactions do, why they are just like any other change in the environment post-experiment,…

📌 Multi-Headed Cross Attention – By Hand 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read Hand compu
📌 Multi-Headed Cross Attention – By Hand 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-24 | ⏱️ Read time: 5 min read Hand computing a fundamental component of multimodal models

📌 Choosing Classification Model Evaluation Criteria 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-25 | ⏱️ Read time: 9 min
📌 Choosing Classification Model Evaluation Criteria 🗂 Category: MACHINE LEARNING 🕒 Date: 2025-01-25 | ⏱️ Read time: 9 min read Is Recall / Precision better than Sensitivity / Specificity?

📌 How Cheap Mortgages Transformed Poland’s Real Estate Market 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-25 | ⏱️ Read time:
📌 How Cheap Mortgages Transformed Poland’s Real Estate Market 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-25 | ⏱️ Read time: 19 min read Insights from a synthetic control group

📌 Optimising Budgets With Marketing Mix Models In Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-26 | ⏱️ Read time: 10 mi
📌 Optimising Budgets With Marketing Mix Models In Python 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-26 | ⏱️ Read time: 10 min read Part 3 of a hands-on guide to help you master MMM in pymc

📌 Beyond Causal Language Modeling 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 7 min read A deep
📌 Beyond Causal Language Modeling 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 7 min read A deep dive into “Not All Tokens Are What You Need for Pretraining”

📌 Small Training Dataset? You Need SetFit 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 9 min read The enter
📌 Small Training Dataset? You Need SetFit 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 9 min read The enterprise-friendly way to train NLP classifiers with Python in 2025

📌 Water Cooler Small Talk, Ep 7: Anscombe’s Quartet and the Datasaurus 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Re
📌 Water Cooler Small Talk, Ep 7: Anscombe’s Quartet and the Datasaurus 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 10 min read Why descriptive statistics aren’t enough and plotting your data is always essential

📌 How to Implement Guardrails for Your AI Agents with CrewAI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-27 | ⏱️ R
📌 How to Implement Guardrails for Your AI Agents with CrewAI 🗂 Category: ARTIFICIAL INTELLIGENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 9 min read LLM Agents are non-deterministic by nature: implement proper guardrails for your AI Application.

📌 Basics of Probability Notations 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 12 min read Union, Intersect
📌 Basics of Probability Notations 🗂 Category: DATA SCIENCE 🕒 Date: 2025-01-27 | ⏱️ Read time: 12 min read Union, Intersection, Independence, Disjoint, Complement: Advanced Probability for Data Science Series (1)