R is a popular data science tool for data analysis. However, it has many drawbacks, such as its memory utilization and single-thread design, that limit its usage for big data analysis. Xiaoyong Zhu explains how to use R to analyze terabytes of data.
Michael Li demonstrates how to iteratively train and refine a simple yet robust credit model for loan-default prediction, based on real-world loan performance data using 100% open source machine learning and artificial intelligence tools. The data is based on US$26 billion in loans issued over 10 years.