Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis.

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Applied Statistics & Statistical Learning Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve ...

Tony F. Chan, Gene H. Golub, Randall J. LeVeque, Algorithms for Computing the Sample Variance: Analysis and Recommendations, The American Statistician, Vol. 37, No. 3 ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

The relation between the Monte Carlo EM (MCEM) algorithm and the data augmentation algorithm is noted. Two modifications to the MCEM algorithm (the poor man's data augmentation algorithms), which ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...