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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πŸ“Œ Neural Networks for Time-Series Imputation: Tackling Missing Data

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ 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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πŸ“Œ The Concepts Data Professionals Should Know in 2025: Part 2

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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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πŸ“Œ Designing, Building & Deploying an AI Chat App from Scratch (Part 2)

πŸ—‚ Category:

πŸ•’ Date: 2025-01-20 | ⏱️ Read time: 20 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2025-01-20 | ⏱️ Read time: 19 min read

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

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-01-19 | ⏱️ Read time: 14 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2025-01-19 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-19 | ⏱️ Read time: 12 min read

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

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-01-18 | ⏱️ Read time: 16 min read

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

πŸ—‚ Category: DATA VISUALIZATION

πŸ•’ Date: 2025-01-18 | ⏱️ Read time: 13 min read

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

πŸ—‚ Category: MICROSOFT

πŸ•’ Date: 2025-01-17 | ⏱️ Read time: 17 min read

What you need to know before you switch from Power BI to Looker.
πŸ“Œ Where to Start when Data is Limited: A Guide

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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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πŸ“Œ A Practical Exploration of Sora – Intuitively and Exhaustively Explained

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-17 | ⏱️ Read time: 23 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-17 | ⏱️ Read time: 5 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-17 | ⏱️ Read time: 16 min read

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

πŸ—‚ Category:

πŸ•’ Date: 2025-01-17 | ⏱️ Read time: 13 min read

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

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ 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…
πŸ“Œ Unlocking the Power of Machine Learning in Analytics: Practical Use Cases and Skills

πŸ—‚ Category: ANALYTICS

πŸ•’ 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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πŸ“Œ Recursive Walks down User Referral Trees

πŸ—‚ Category: MARKETING

πŸ•’ Date: 2025-01-15 | ⏱️ Read time: 6 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-15 | ⏱️ Read time: 7 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-15 | ⏱️ Read time: 10 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-15 | ⏱️ Read time: 14 min read

GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)