Big Data Analytics: Dealing with Structured, Semi-structured, and Unstructured Data
by Dr. Choudur Lakshminarayan, Teradata Corp.
June 10, 2019, at the AU Don Myers Technology and Innovation Building.
The course will cover theory and methods dealing with structured, semi-structured, and unstructured data based on real-world scenarios. Examples will include application of mathematical statistics and machine learning to numeric, click-stream, and text data from the real world. The range of algorithms will cover supervised and unsupervised learning spanning projection methods such as Discriminant Analysis, Principal Component Analysis, Independent Component Analysis and Regression Analysis (exponential families), Deep Neural Networks, and Statistical Clustering. We will use the R/SAS programming languages for analyzing the data and demos.
Students (Graduate and Undergraduate), Faculty, Researchers, and Practitioners.
Elementary knowledge of Probability, Statistics, and Calculus is useful but not essential; some familiarity using computers, R and SAS.
Choudur K. Lakshminarayan specializes in the areas of mathematical statistics, applied mathematics, machine learning and data mining with applications in digital marketing, sensors and sensing in healthcare, energy, large-scale data centers, semiconductor manufacturing, and histogram statistics in query Optimization. He contributed to developing novel algorithms for statistical clustering, time series, and classification using structured, semi-structured, and unstructured data. He is widely published in peer-reviewed international conferences and journals, and his name appears as an inventor in over 50 patents; granted, published, or pending. He has conducted workshops in Data Mining and Analytics in India, Hong Kong, China, the Middle East and the USA. He taught as a visiting professor at the Indian Institute of Technology, Hyderabad, and the Indian Institute of Information Technology, Bangalore. He speaks regularly at international conferences, symposia, and universities. He served as a consultant to government, and private industry in the US and India. He holds a PhD in mathematical sciences, and lives in Austin, Texas.
Please use One-Day Course Registration at the ASA site.
The course fee is $200, which is discounted for conference participants. When the course is added to the conference registration, the course fee is $100 for college and university students, $120 for senior citizens, $140 for members of Q&P and SPES sections of the ASA and NISS-affiliated organizations, and $160 for all the others.
Registration for the course includes the breakfast, lunch, and cofee breaks on June 10. It does not include the conference on June 11-13.
Registration will require registering an account with the American Statistical Association, if you do not have one already. Purchasing ASA membership is not required.