overview of emerging it2 at the request of several students, the context and mathematics of several...

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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

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Page 1: 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

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

Page 2: 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

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

Page 3: 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

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