Data Analysis and Graphics using R
Data analysis refers to hands-on data exploration and evaluation of data. Latest trends in data analysis are – data mining, machine learning and analytics. These emphasize on new types of data, new data analysis demands, new data analysis tools, and big data sets that may be of unprecedented size. Textual data and image data also offer interesting new challenges for data analysis. The best any data analysis can do is to highlight the information in the data. There are many data analysis tools (viz. Python, R etc.) available for effective data analysis and visual representation of that analysis. In this talk, we would use R to discuss data analysis techniques. We would explore the statistical analyses, machine learning models, different plotting techniques and graphics in R. Pre-requisites: Please have open source RStudio Desktop (http://www.rstudio.com/products/rstudio/) installed to follow along with hands-on code.
Anusua Trivedi is a Data Scientist at Microsoft’s Information Management and Machine Learning group and she works on advanced predictive analytics and Deep Learning models. Prior to joining Microsoft, Anusua was working as a data scientist at a Supercomputer Center - Texas Advanced Computing Center (TACC). As a data scientist with TACC, she developed algorithms and methods for the supercomputer to explore, analyze, and visualize clinical and biological big data. Anusua have also held positions with UT Austin and University of Utah. Anusua is a frequent speaker at machine learning and big data conferences across the United States.
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