Elements of Network Science: Theory, Methods and Applications in Stata, R Python (Statistics Computing)

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics Computing)

Number Theoretic Methods in Statistics: Theory and Applications

Risk Assessment: Theory, Methods, and Applications (Statistics in Practice)

Mathematical Methods in Data Science: Bridging Theory and Applications With Python (Cambridge Textbooks)