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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📌 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.
📌 Where to Start when Data is Limited: A Guide

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read

Overcome small data constraints & ambitious performance requirements-leveraging modern ML to surpass conventional methods.
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📌 A Practical Exploration of Sora – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 23 min read

A new cutting edge video generation tool, and the theory behind it
📌 Preparing PDFs for RAGs

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 5 min read

I created a graph storage from dozens of annual reports (with tables)
📌 Influential Time-Series Forecasting Papers of 2023-2024: Part 1

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-17 | ⏱️ Read time: 16 min read

Exploring the latest advancements in time series
📌 What Did I Learn from Building LLM Applications in 2024? – Part 2

🗂 Category:

🕒 Date: 2025-01-17 | ⏱️ Read time: 13 min read

An engineer’s journey to building LLM-powered applications
📌 Understanding Flash Attention: Writing the Algorithm from Scratch in Triton

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read

Find out how Flash Attention works. Afterward, we’ll refine our understanding by writing a GPU…
📌 Unlocking the Power of Machine Learning in Analytics: Practical Use Cases and Skills

🗂 Category: ANALYTICS

🕒 Date: 2025-01-15 | ⏱️ Read time: 9 min read

Your essential machine learning checklist to excel as a data scientist in analytics
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📌 Recursive Walks down User Referral Trees

🗂 Category: MARKETING

🕒 Date: 2025-01-15 | ⏱️ Read time: 6 min read

Measuring the total influence of users in a user referral program by traversing indirect referrals
📌 LossVal Explained: Efficiently Estimate the Importance of Your Training Data

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 7 min read

How to Exploit the Loss Function for Efficient Data Valuation
📌 Scaling Segmentation with Blender: How to Automate Dataset Creation

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 10 min read

A Step-by-Step Guide to Generating Synthetic Data for Training AI Models
📌 Basics of GANs & SMOTE for Data Augmentation

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-15 | ⏱️ Read time: 14 min read

GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)
📌 Hands-On Delivery Routes Optimization (TSP) with AI, Using LKH and Python

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 12 min read

Here’s how to optimize the delivery routes, from theory to code.
📌 How To: Forecast Time Series Using Lags

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-14 | ⏱️ Read time: 8 min read

Lag columns can significantly boost your model’s performance