Studienliteratur in Data & AI

Multilinear Subspace Learning

Self-Organizing Methods in Modeling

Spatial Analytical Perspectives on GIS

Data Clustering in C++

Image Statistics in Visual Computing

Applying Analytics

Statistical and Computational Methods in Brain Image Analysis

Data Mining

Bayesian Programming

Wavelet Analysis with Applications to Image Processing

Learning Analytics

Handbook of Data Management

Artificial Intelligence Frontiers in Statistics

Interactive Graphics for Data Analysis

Knowledge Discovery for Counterterrorism and Law Enforcement

Multimedia Data Mining

Introduction to Machine Learning and Bioinformatics

Immunological Computation

Handbook of 3D Machine Vision

Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Automated Data Analysis Using Excel

Machine Learning and Analytics in Healthcare Systems

Big Data Analytics

Stochastic Optimization for Large-scale Machine Learning