Profile code with profvis to identify bottlenecks.

Topics in nonasymptotic direct computational methods for statistical inference in data mining. Background in probability and statistics required.

Students in the certificate will develop deep technical skills in big data, statistical analysis, and data science; transferable professional skills in communication, collaboration, teamwork, ...

Skills taught include relational database design and management, object-oriented computer programming, web server technology, forecasting, large-scale statistical analysis, data mining, decision ...

computational statistics, time series analysis, and forecasting, data mining, predictive modeling, and more. Beyond learning applied statistics theories and methods, you’ll also need the following ...

This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, ...

This often takes the form of a null hypothesis, which is a statistical hypothesis that states there will be no difference between observed and expected data. The null hypothesis is proposed by a ...

As a core course in big data analysis technology, data mining and machine learning have a relatively short history and are basically in the process of exploration. There are many problems in the ...

multivariate analysis, mathematical statistics, and data mining. His teaching career has garnered several teaching awards. He has also published hundreds of publications covering statistical ...

The future of data mining on Linux looks promising, with advancements in AI, quantum computing, and edge technologies paving ...