Data Analysis Techniques and Applications

This book presents innovative techniques in data analysis and related branches for solving problems in different areas of science. 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. The methodologies used in the case studies allow practitioners to replicate and adapt the proposed models and techniques to new areas of analysis. 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.

Provides applications of data science, machine learning, and related topics in a variety of settings;
Presents innovative techniques in data analysis and related branches for solving problems in different areas of science;
Includes case studies to allow practitioners to replicate and adapt the proposed models and techniques.