Statistical Learning Big Data

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education.

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry.

by Zhiyi Zhang (Author)

Learn Apache Spark and PySpark to build scalable data pipelines, process big data, and implement effective ML workflows.