Author

Ebad Sayed

@sayedebad.777

articles: 12
total claps: 56
top claps: 50
avg read: 7.7 min
active: 2024-08-02 → 2026-05-23

Wiki topics

EDU · Education & Learning · 9 💻 · Programming · 4 ML · Machine Learning · 3 📐 · Mathematics · 2 EVAL · Evaluation & Benchmarks · 1 LLM · Large Language Models · 1 ✨ · Lifestyle · General · 1 🌐 · Web Development · 1

Top tags

#reinforcement-learning ·7 #monte-carlo-method ·2 #temporal-difference ·2 #machine-learning ·2 #ai-blackjack ·1 #epsilon-greedy-algorithm ·1 #value-function ·1 #rlhf ·1 #reward-model ·1 #bradley-terry-loss ·1

HUM AI SCI TCH

EB Ebad Sayed

Mastering Principal Component Analysis (PCA): A Comprehensive Guide with Detailed Math and Code

PCA is arguably the most elegant algorithm in machine learning — a mathematical scalpel that strips away noise and redundancy to reveal the…

May 17, 2026 · 10 min read · 50 claps #machinelearningalgorithms #pca-analysis #machine-learning

Mastering Principal Component Analysis (PCA): A Comprehensive Guide with Detailed Math and Code

HUM ART

EB Ebad Sayed

Drones and PID Control: An Introductory Guide to Aerial Robotics

Drones, also known as unmanned aerial vehicles (UAVs), have revolutionized numerous industries, from aerial photography and agriculture to…

Aug 02, 2024 · 10 min read · 2 claps #drones #aerial-robotics #pid-controller

Drones and PID Control: An Introductory Guide to Aerial Robotics

HUM AI SCI TCH

EB Ebad Sayed

Mastering Gradient Boosting & XGBoost: A Comprehensive Guide with Detailed Math and Code

Gradient Boosting is the algorithm that dominates Kaggle leaderboards, powers fraud detection at banks, and drives recommendations at tech…

May 23, 2026 · 7 min read · 2 claps #gradient-boosting #xgboost #machine-learning

Mastering Gradient Boosting & XGBoost: A Comprehensive Guide with Detailed Math and Code

HUM

EB Ebad Sayed

LunarLander with Deep Q-Networks — From Scratch, No Libraries

What Are We Building?

May 13, 2026 · 7 min read · 1 claps #deep-q-network #dqn #lunar-lander

LunarLander with Deep Q-Networks — From Scratch, No Libraries

HUM AI TCH

EB Ebad Sayed

Building a Blackjack Strategy Learner with Monte Carlo RL

What Are We Building?

Apr 27, 2026 · 6 min read · 1 claps #reinforcement-learning #monte-carlo-method #ai-blackjack

Building a Blackjack Strategy Learner with Monte Carlo RL

HUM AI

EB Ebad Sayed

Building a Miniature RLHF Pipeline from Scratch

What Are We Building?

May 15, 2026 · 11 min read · 0 claps #reinforcement-learning #rlhf #reward-model

Building a Miniature RLHF Pipeline from Scratch

HUM LIF

EB Ebad Sayed

MountainCar with Actor-Critic (A2C) — Continuous Actions from Scratch

What Are We Building?

May 14, 2026 · 9 min read · 0 claps #actor-critic-models #reinforcement-learning #policy-gradient-methods

MountainCar with Actor-Critic (A2C) — Continuous Actions from Scratch

HUM AI

EB Ebad Sayed

BipedalWalker with PPO — The Clip Ratio Explained

What Are We Building?

May 14, 2026 · 9 min read · 0 claps #proximal-policy #ppo #bipedal

BipedalWalker with PPO — The Clip Ratio Explained

LIF TCH

EB Ebad Sayed

I Built a VS Code Extension That Monitors Your AI API Costs in Real-Time — Here’s Everything I…

The Inspiration: Blind Spending on AI APIs

May 16, 2026 · 7 min read · 0 claps #vscode-extension #healthai #developer-tools

I Built a VS Code Extension That Monitors Your AI API Costs in Real-Time — Here’s Everything I…

HUM

EB Ebad Sayed

SARSA vs Q-Learning on CliffWalking — On-Policy vs Off-Policy

What Are We Building?

May 13, 2026 · 7 min read · 0 claps #sarsa #q-learning #on-policy

SARSA vs Q-Learning on CliffWalking — On-Policy vs Off-Policy

HUM

EB Ebad Sayed

TD vs Monte Carlo on CliffWalking — A Head-to-Head Comparison

What Are We Building?

Apr 28, 2026 · 6 min read · 0 claps #temporal-difference #monte-carlo-method #bootstrapping

TD vs Monte Carlo on CliffWalking — A Head-to-Head Comparison

EB Ebad Sayed

I Built 5 Python Packages for LLM Developers — Here’s Everything I Learned

Why I Built These

May 20, 2026 · 5 min read · 0 claps #python-libraries #python #large-language-models