Course literature in Data & AI

Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Big Data Analytics Using Multiple Criteria Decision-Making Models

Computational Exome and Genome Analysis

Compressive Sensing of Earth Observations

The Essentials of Data Science: Knowledge Discovery Using R

Artificial Neural Networks for Engineers and Scientists

Exploratory Data Analysis with MATLAB

Data Visualization

Visualization Analysis and Design

Regularization, Optimization, Kernels, and Support Vector Machines

Soft Computing and Its Applications, Volume Two

Mining User Generated Content

Analyzing Baseball Data with R

Artificial Intelligence and Actuarial Science

Artificial Intelligence for Art Creation and Understanding

Statistical Modeling and Machine Learning for Molecular Biology

Handbook of Multisensor Data Fusion

Blind Image Deconvolution

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Algorithms for Next-Generation Sequencing

Mining Multimedia Documents

Social Media Analytics for User Behavior Modeling

Natural Language Processing in Artificial Intelligence

Machine Learning in Cognitive IoT