Linear Models and OverfittingExplores linear models, overfitting, and the importance of feature expansion and adding more data to reduce overfitting.
Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Neural Signal CompressionExplores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
