Data Analysis Techniques and Applications

Overview

This book presents innovative techniques in data analysis and related branches for solving problems in different areas of science.

Techniques and Applications

The authors present multiple techniques in data science and its applications, such as multi-objective optimization, statistical analysis, statistical process, and design of experiments for industry, artificial intelligence and machine learning, big data analytics, and stochastic processes.

Methodologies and Case Studies

The methodologies used in the case studies allow practitioners to replicate and adapt the proposed models and techniques to new areas of analysis.

Educational Value

At the same time, the book allows students from different areas to see how the implementation of data analysis can help understand phenomena in the real world and how, through a structured methodology, it is possible to derive conclusions to different problems that arise in many areas of science.