Welcome to my journey of mastering AI engineering from the ground up! This repository serves as a comprehensive log and practical workspace for my learning path, following a "from scratch" philosophy inspired by courses and guides that emphasize deep, fundamental understanding.
Instead of just using high-level APIs, this repository focuses on building core understanding. You'll find implementations and explorations that peel back the layers of abstraction, including:
- Mathematical Foundations: Intuitive and practical code for linear algebra, calculus, and other core math concepts, ensuring a solid base.
- Core Implementations: Building blocks like neural networks, optimization algorithms, and data processing pipelines from their fundamental principles.
- Hands-On Practice: Moving beyond theory by writing code, running experiments, and testing concepts to truly internalize how AI systems work.
This project is a direct reflection of my learning path, inspired by the approach of educators like Rohit Ghumare and similar "AI Engineering from Scratch" courses. The goal is to document the journey, solidify my own knowledge, and create a valuable resource for others on a similar path.
# Clone the repository
git clone https://github.com/Saransh-Basu-01/AI_Engineering.git
# Navigate to the project
cd AI_Engineering
# Explore the directories
ls -la