Machine Learning

Previously, in the post Loss Functions in Machine Learning and LTR we disscussed about how loss functions were used in ML and briefly mentioned LTR. Here I’ll discuss about LTR.

Previously, decision theory was disscussed and an important part of is to evaluate a decision rule for decision making. Since the risk is the average loss \(L(\theta,d)\), different loss functions were used in Machine Learning models.

Target (binary) Classification predication.

There are so many terms regarding the field of Statistics and Data Science. We often heard Statistics, Data Mining, Machine Learning, Big Data, etc. It especially confuses people that’s in a different field.

Bayesian approach becomes more and more popular because of the improvement of the mordern computing ability for machine learning and big data. Bayesian analysis is a completely different approach compared to frequentist approach.

Data Analytics Competition using customers information and historical transaction activities to predict if a customer is about to churn.

Recently, I discovered a few pretty cool tools, R-based and easy to follow. R Presentation Themes Why uses R presentation? Take advantage of R Markdown .