Rest Analytics and Research

ROC curves and AUC values are common evaluation metric for binary classification models. Although there are some criticism of it especially its’s appropritatenes in evaluating models built with imbalanced data, they still remain the most popular evaluation metric for binary classification models. In the case of highly imbalanced classification, the... [Read More]

Introduction Machine learning algorithms are often said to be black-box models in that there is not a good idea of how the model is arriving at predictions.This has often hindered adopting machine learning models in certain industires where interpretation is key. Examples of such areas include financial institutions who are... [Read More]

Distributed Machine Learning with Spark ML [Read More]

Colaborative Filtering : Hyperparameter Tuning Alternating Least Squares Algorithm [Read More]

Building Recommender System in Spark : Alternating Least Squares Algorithm [Read More]