Machine Learning – Telegram
Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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📌 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
📌 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…
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📌 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
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Machine Learning pinned «🚀🔥 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 — 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 Master the hottest skill in tech: building intelligent AI systems that think and act independently. Learn to build smart 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀, 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝗮𝗻𝗱 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. 𝗘𝗮𝗿𝗻 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻…»
📌 Behind the Scenes of a Successful Data Analytics Project

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-23 | ⏱️ Read time: 10 min read

Learn the steps to approach any data analytics project like a pro.
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📌 Harmonizing and Pooling Datasets for Health Research in R

🗂 Category: CODING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

R code to extract data from unique datasets and combine them in one harmonized dataset…
📌 Understanding Emergent Capabilities in LLMs: Lessons from Biological Systems

🗂 Category:

🕒 Date: 2025-01-22 | ⏱️ Read time: 24 min read

How natural systems fundamental laws help explain AI’s unexpected abilities
📌 Topic Modelling in Business Intelligence: FASTopic and BERTopic in Code

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

A comparison of two cutting-edge dynamic topic models solving consumer complaints classification exercise
📌 How to Evaluate LLM Summarization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-22 | ⏱️ Read time: 18 min read

A practical and effective guide for evaluating AI summaries
📌 How to Utilize ModernBERT and Synthetic Data for Robust Text Classification

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 10 min read

Learn how to fine-tune ModernBERT and create augmentations of text samples
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📌 Human Minds and Machine Learning Models

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 14 min read

Exploring the parallels and differences between psychology and machine learning
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📌 Neural Networks for Time-Series Imputation: Tackling Missing Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-01-22 | ⏱️ Read time: 11 min read

Part 3: Discover how a simple Keras sequential model can be effective
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📌 The Concepts Data Professionals Should Know in 2025: Part 2

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read

From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…
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📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 2)

🗂 Category:

🕒 Date: 2025-01-20 | ⏱️ Read time: 20 min read

Cloud Deployment and Scaling
📌 Designing, Building & Deploying an AI Chat App from Scratch (Part 1)

🗂 Category:

🕒 Date: 2025-01-20 | ⏱️ Read time: 19 min read

Microservices Architecture and Local Development
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📌 The Concepts Data Professionals Should Know in 2025: Part 1

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-19 | ⏱️ Read time: 14 min read

From Data Lakehouses to Event-Driven Architecture – Master 12 data concepts and turn them into…
📌 Zero-Shot Player Tracking in Tennis with Kalman Filtering

🗂 Category:

🕒 Date: 2025-01-19 | ⏱️ Read time: 10 min read

Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography.
📌 How to Log Your Data with MLflow

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-19 | ⏱️ Read time: 12 min read

Mastering data logging in MLOps for your AI workflow
📌 Modern Data And Application Engineering Breaks the Loss of Business Context

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-01-18 | ⏱️ Read time: 16 min read

Here’s how your data retains its business relevance as it travels through your enterprise
📌 Showcasing Soaring Wildfire Counts With Streamlit and Python: A Powerful Approach

🗂 Category: DATA VISUALIZATION

🕒 Date: 2025-01-18 | ⏱️ Read time: 13 min read

Analyzing historical wildfire trends in Canada with public data
📌 My Experience Switching From Power BI to Looker (as a Senior Data Analyst)

🗂 Category: MICROSOFT

🕒 Date: 2025-01-17 | ⏱️ Read time: 17 min read

What you need to know before you switch from Power BI to Looker.