Statistical Inference and Machine Learning for Big Data

The book "Statistical Inference and Machine Learning for Big Data" offers a comprehensive introduction to advanced statistical methods that are of interest to both undergraduate and graduate students, as well as professionals looking to familiarize themselves with these significant topics. It covers a variety of real-world applications in areas such as genetics, medicine, and environmental issues. The structure of the book is clearly organized: it begins with different types of data and their graphical representation and analysis. Next, it introduces fundamental tools of probability theory and statistics, with a particular focus on symbolic data analysis. The third part is dedicated to the tools of machine learning, while the fourth part addresses the computational aspects of big data. This book serves as both a reference for statistical methods and as teaching material for modern statistics and its applications.