Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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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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πŸ“Œ No Peeking Ahead: Time-Aware Graph Fraud Detection

πŸ—‚ Category: MACHINE LEARNING

πŸ•’ Date: 2025-09-14 | ⏱️ Read time: 15 min read

How to implement leak-free graph fraud detection
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πŸ“Œ The Large Language Model Course

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-16 | ⏱️ Read time: 21 min read

How to become an LLM Scientist or Engineer from scratch
πŸ“Œ Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight

πŸ—‚ Category: DATA SCIENCE

πŸ•’ Date: 2025-01-16 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features
πŸ“Œ Why Data Scientists Can’t Afford Too Many Dimensions and What They Can Do About It

πŸ—‚ Category: DEEP LEARNING

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

An in-depth article about dimensionality reduction and its most popular methods
πŸ“Œ The Death of Human-Written Code Tutorials in the ChatGPT Era β€¦ Or Not?

πŸ—‚ Category: ARTIFICIAL INTELLIGENCE

πŸ•’ Date: 2025-01-16 | ⏱️ Read time: 11 min read

An argument in favor of human-written coding tutorials in the new age of LLMs.
πŸ“Œ Developing an AI-Powered Smart Guide for Business Planning & Entrepreneurship

πŸ—‚ Category: ENTREPRENEURSHIP

πŸ•’ Date: 2025-01-16 | ⏱️ Read time: 35 min read

A LangGraph-based advanced agentic RAG with standard business guides, AI-based web search, trusted sources, and…
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πŸ“Œ Water Cooler Small Talk, Ep 6: Benford’s Law

πŸ—‚ Category: DATA SCIENCE

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

A look into the strange first digit distribution of naturally occurring datasets