Computational and Statistical Methods for Analysing Big Data with Applications
Computational and Statistical Methods for Analysing Big Data with Applications provides readers with a comprehensive discussion on developing and implementing advanced statistical and computational methodologies for high-impact areas where big data is collected, including: computer vision, geosciences, commerce, healthcare, and transportation. Topics covered include machine learning, spatial statistics, design of experiments, and healthcare.
Teaching with MATLAB and Simulink
Find resources to help you enable hands-on learning with MATLAB and Simulink, plus tools for delivering instruction, engaging students, and assessing outcomes.