Want to gain more insight from your data? Is analyzing datasets too much for your favorite spreadsheet? Considering using machine learning to improve insights?
DurationWant to gain more insight from your data? Is analyzing datasets too much for your favorite spreadsheet? Considering using machine learning to improve insights? Spend a week with TACC's data analysis experts learning about the latest tools and techniques for analyzing and processing your Big Data problems.
Try your hand at state of the art machine learning technologies and algorithms with guided hands-on exercises. Spend time one-on-one with our data analysis staff talking about your own projects and goals, and hear about the latest tools and research in Big Data.
TACC inspires and educates the next generation of computational scientists and technologists and increases the public's understanding of the role computing plays in shaping our society.
TACC has developed a unique scientific computing curriculum for The University of Texas at Austin designed to educate not only the next generation of researchers and computational professionals, but also social scientists, artists, and historians.
NYU Tandon's Summer Program for Machine Learning is a two-week course that introduces high school students to the computer science, data analyses, mathematical techniques, and logic that drive the fields of machine learning and artificial intelligence.
This 35-hour Machine Learning with R course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications in R.
The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.
This skillset is in high demand, as machine learning algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones.
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