Machine Learning 101: Fundamentals to Practice
2025-06-20
Learning ML from Scratch
As a way of learning, I decided to start from the beginning. That is starting with a perceptron and then slowly moving to neurons, neural nets, etc.
I think that this project will help me a lot in understanding the fundamentals and all the different aspects of ML. Such as:
- Activation Functions
- Different types of Neural Networks: ANNs, RNNs and CNNs
- Different mathematical models and the math behind them: Linear models, Regression models, etc.
And most importantly, the different application and usecases that Artificial Intelligence can have.