Overview of Emerging IT2 At the request of several students, the context and mathematics of several Big Data algorithms will be examined in detail Dissertation data – discuss, inventory, etc. Guest speakers – External – IBM, etc. – Former doctoral students

Three Big Data Algorithms Lectures, assignments, and discussions – Bayes decision theory versus kNN – Linear Regression – K-Means Clustering Objective – provide students with basic understanding of the algorithms

Research Day Conference Paper Teams will combine the three machine-learning algorithm lectures, assignment results, and related discussions into one conference paper – Title: “Three Big Data Machine Learning Algorithms” – 6-8 pages – Research Day Conference format