id=7022). This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models ...

Students must have knowledge of Statistics and the programming language R to the level of ST447, Data Analysis and Statistical Methods. Data Mining is an interdisciplinary field developed over the ...

Pruneau, Claude Gonzalez, Victor Marin, Ana and Basu, Sumit 2024. Multiparticle integral and differential correlation functions. Physical Review C, Vol. 109, Issue. 4, ...

The landscape of malware analysis has significantly evolved, driven by the increasing sophistication of cyber threats and the ...

Google's AI Prompt Engineering course learn the basics to advanced strategies, unlock AI's potential for work, data, and ...

Discover key skills and techniques needed to excel in data journalism. Learn about data literacy, analysis tools, and ...

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, ...

Patrick Ball John Maddox Prize 2024 winner: interviewed on his career, the data analysis methods behind it and the prize.