Introduction and Fundamentals of Machine Learning

This course serves as an introduction to machine learning for beginners, spanning two days. 

The first day is dedicated to statistical machine learning methods such as linear regression and principal component analysis (PCA), taught through a mix of lectures and practical exercises. 

The second day introduces neural networks, starting from perceptrons and moving to fully connected networks, with each concept explained in lectures, followed by hands-on tutorials. Depending on the level and time left, convolutional neural networks (CNNs) could also be covered. 

The course is designed to build foundational knowledge in machine learning for those new to the field.