Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Covers the fundamentals of database systems, including data modeling, information processing, and the challenges of managing large volumes of data.
Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
