One of my favorite lessons I’ve learnt from working with smart people: Action produces information. If you’re unsure of what to do, just do anything, even if it’s the wrong thing. This will give you information about what you should actually be doing. Sounds simple on the

🔍 Understanding Regression in Machine Learning (A view of the deep dive I did today). One of the first and most fundamental concepts in ML is regression. It’s all about predicting continuous outcomes and finding relationships between variables. At its core, regression answers

Stanford just dropped a 1:47 hour masterclass about LLM training on YouTube. this is the 4th lecture in their new Fall 2025 series of transformers and LLM. this is the new go-to course on LLMs imo, and you need to take it seriously. subjects in this video: → Pretraining →

STEP 1: Mathematical Foundations for Machine Learning The deeper I go into AI, the more I realize that mathematics isn’t optional it’s the language of ML. This first stage of my roadmap is all about building a solid foundation in the math concepts that power every algorithm,

A transformation is only linear if it has this two properties : 1. All lines must remain lines without getting curved. 2. The origin must remain fixed in place.

I’ll be breaking each of these areas into smaller, digestible topics and sharing my learning process along the way. #MachineLearning #ArtificialIntelligence #DeepLearning #MLRoadmap #DataScience #MLOps #AICommunity #LearningJourney

5️⃣ Deep Learning and Neural Networks 6️⃣ Specialized Machine Learning Domains 7️⃣ Model Deployment and MLOps 8️⃣ Cloud Computing and Distributed Systems 9️⃣ Ethics, Security, and Responsible AI 🔟 Portfolio and Career Development

I’m mastering Machine Learning from scratch and documenting every step✨ Here’s how I’m structuring my ML journey 1️⃣ Mathematics for Machine Learning 2️⃣ Programming & Software Engineering Essentials 3️⃣ Data Handling & Databases 4️⃣ Core Machine Learning Theory & Practice

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Locking in till next year 🔒

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There’s a stage in tech where: – You no longer job hunt, opportunities find you. – You hold a well-paying role, or build as a founder/investor. – You stop posting work-in-progress frequently, instead sharing team or individual wins, lifestyle, and community. - Your bio gives “if

I’m grossly underperforming 😑

Matplotlib is so interesting 🤭

Most inspiring ayah in the book of Allah

Quick Python Quiz: if-elif-else What will be the value of x after the following code is executed? x = 10 if x == 5: x = x + 5 elif x > 15: x = x - 5 else: x = 0 A. 5 B. 10 C. 15 D. 0

This year has taught me a lot!!!

"Just picked up some new reads!” 🌟 Who else can’t resist the urge of buying new books? I’m sure I’m not alone 😌. #ReadingStack

You'll never regret retweeting this ❤️🥀

I need a TESLA 🎃