Machine Learning BasicsIntroduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
Data Issues in ResearchExplores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Introduction to Database SystemsCovers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Singular Value DecompositionExplores Singular Value Decomposition and its role in unsupervised learning and dimensionality reduction, emphasizing its properties and applications.
