Studienliteratur in Data & AI

Real-Time Expert Systems Computer Architecture

Machine Learning and IoT

Feature Engineering for Machine Learning and Data Analytics

Introduction To The Theory Of Neural Computation

The Mathematics Of Generalization

Multivariate Kernel Smoothing and Its Applications

Self-Organizing Methods in Modeling

Spatial Analytical Perspectives on GIS

Handbook of Geospatial Artificial Intelligence

Natural Language Processing and Artificial Intelligence

Data Science

Background Modeling and Foreground Detection for Video Surveillance

Data Mining

Multimodal Interactive Systems Management

Big Data

Large Scale and Big Data

Sparse Modeling

Machine Learning

Humanoid Robotics and Neuroscience

Big Data, Mining, and Analytics

Ambient Diagnostics

Data Classification

Frontiers in Data Science

Convolutional Neural Networks in Visual Computing