Big Data Analytics

Course materials for ISE:4172 Big Data Analytics (Prof. Stephen Baek; University of Iowa).

Read getting_started.md to configure your system for the course materials.

Syllabus

See ICON. (Iowa students only)

Schedule

Index	Description	Materials
Lecture 1 Lab 1	Introduction Course introduction What is big data? Python & Numpy basics	slides lab getting started
Lecture 2 Lab 2	Read & Represent Data Data types & formats Pandas basics	slides lab
Lecture 3 Lab 3	Data Mining Public datasets Web crawling Application Programming Interfaces	slides lab
Lecture 4 Lab 4	Data Preprocessing and Visualization Data cleaning Sampling Feature extraction (preview) Dimension reduction (preview)	slides lab
	No Class
Lecture 5 Lab 5	Supervised Learning Hypothesis Linear regression Complexity	slides #1 slides #2 lab
Lecture 6 Lab 6	Distance and Similarity K-nearest neighbors Distance functions Nystrom approximation	slides #1 slides #2 slides #3 lab Nystrom
Lecture 7 Lab 7	Cluster Analysis.	slides #1 slides #2 lab
	Final Project Assigned
	No Class
	No Class
Lecture 8 Lab 8	Neural Networks Introduction to neural networks Backpropagation Deep neural networks	slides #1 slides #2 lab
Lecture 9 Lab 9	Dimensionality Reduction Principal Component Analysis Multi-dimensional Scaling Isomap & LLE t-SNE Self Organizing Maps	slides #1 slides #2 lab
Lecture 10 Lab 10	Model Selection	slides lab
	Thanksgiving Recess
	Thanksgiving Recess
	Final Project Presentation
	Final Project Presentation