Kurslitteratur inom Data & AI

Meta-Algorithmics

Digital Libraries

Object Detection and Recognition in Digital Images

Constraint Networks

Data Analysis

Artificial Beings

Emotion-Oriented Systems

Stochastic Geometry for Image Analysis

Inverse Problems in Vision and 3D Tomography

Probabilistic Search for Tracking Targets

The Fitness of Information

Semi-Supervised and Unsupervised Machine Learning

Bioinformatics and Functional Genomics

Blind Identification and Separation of Complex-valued Signals

Man-Machine Dialogue

Data Mining and Business Analytics with R

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

The Data Warehouse Toolkit

Microsoft Big Data Solutions

Applied Predictive Analytics

Imbalanced Learning

Too Big to Ignore

Artificial Intelligence in Practice

Python Machine Learning