DDS-8515 V2

Lantz, B. (2023). Machine learning with R (4th ed.). Packt Publishing.
Read the following:

• Chapter 3: Lazy Learning – Classification Using Nearest Neighbors
• Chapter 5: Divide and Conquer – Classification Using Decision Trees and Rules
• Chapter 8: Finding Patterns – Market Basket Analysis Using Association Rules
• Chapter 9: Finding Groups of Data – Clustering with k-means

Phuong Vo.T.H, Martin Czygan, Ashish Kumar, & Kirthi Raman. (2017). Python: Data analytics and visualization. Packt Publishing.
Review as needed.

Lantz, B. (2023). Machine learning with R (4th ed.). Packt Publishing.
Read the following:

• Chapter 7: Black-Box Methods – Neural Networks and Support Vector Machines
• Chapter 14: Building Better Learners
• Chapter 15: Making Use of Big Data

Chazal, F., & Michel, B. (2017). An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists.

Bobrowski, O., & Skraba, P. (2023). A universal null-distribution for topological data analysis. Scientific Reports, 13(1).