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 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)
πŸ“Œ Hands-On Delivery Routes Optimization (TSP) with AI, Using LKH and Python

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 12 min read

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

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 8 min read

Lag columns can significantly boost your model’s performance
πŸ“Œ Scale Experiment Decision-Making with Programmatic Decision Rules

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 6 min read

Decide what to do with experiment results in code
πŸ“Œ Why Normalization Is Crucial for Policy Evaluation in Reinforcement Learning

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 6 min read

Enhancing Accuracy in Reinforcement Learning Policy Evaluation through Normalization
πŸ“Œ Awesome Plotly with Code Series (Part 8): How to Balance Dominant Bar Chart Categories

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 8 min read

Discover the #1 strategy to handle skyscraper bars in your charts
πŸ“Œ From Darwin to Deep Work

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 7 min read

Focus Strategies for Machine Learning Practitioners
πŸ“Œ You Think 80% Means 80%? Why Prediction Probabilities Need a Second Look

πŸ—‚ Category:

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 9 min read

Understand the gap between predicted probabilities and real-world outcomes
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πŸ“Œ Using Optimization to Solve Adversarial Problems

πŸ—‚ Category:

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 41 min read

An example of simultaneously optimizing two policies for two adversarial agents, looking specifically at the…
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πŸ“Œ Roadmap to Becoming a Data Scientist, Part 3: Machine Learning

πŸ—‚ Category: CAREER ADVICE

πŸ•’ Date: 2025-01-14 | ⏱️ Read time: 11 min read

From beginner to pro: key machine learning skills for data science aspirants
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