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Commentary from data scientist on how to improve diagnosis with clustering analysis models (DBSCAN), classification models, and forecasting models (using regression).
Learn the use cases of Big Data for micro-targeting and customer journey personalization in e-commerce and how these could be leveraged in your business.
Learn the best practices for implementing the continuous delivery process to speed up your time-to-market by 20% and improve product quality.
Discover the benefits of implementing a fraud detection system (apart from catching the fraud) with insights how to build such system.
The benefits of big data analysis for financial risk management explained with examples, use cases and commentary from experienced developers.
Learn how to build a robust credit card fraud detection algorithm in Java using Apache Spark and achieve 98.2% AUC rate.
Learn what is the difference between Spark and Hadoop frameworks for working with big data and determine which to use for your project.