Machine Learning

AI Learning Resources

AI Learning Resources #

A curated list of high-quality online courses to learn Artificial Intelligence, Machine Learning, and Deep Learning from reputable universities and organisations.



Deep Neural Networks (DNN) #

  • Deep Learning. MIT Press.
    Goodfellow, I., Bengio, Y., & Courville, A. (2016). (Vol. 1, No. 2).

  • Introduction to Deep Learning. MIT Press.
    Eugene, C. (2019).

  • Deep Learning with Python. Simon & Schuster.
    Chollet, F. (2021).

ML Pipeline

Machine Learning Pipeline: Preprocessing & Models #

This page explains both data preprocessing and model development concepts in a clear, structured way to support understanding.

A complete ML pipeline includes preprocessing, feature engineering, feature selection, and model training.


1. Data Preprocessing Overview #

Raw data is often:

  • Noisy
  • Incomplete
  • Inconsistent

Preprocessing ensures data is suitable for machine learning.


2. Missing Values #

Why they occur

  • Sensor errors
  • Data collection issues

Methods