Questions Beginners Asks When Starting Unit Testing

There are few general bafflements that most developers face when venturing into Test Driven Development and especially when using mocks for unit testing. In this blog I'm addressing 6 such scenarios and show how to tackle those. For the coding demonstrations I am using Java, though the concepts are similar in any object oriented languages. … Continue reading Questions Beginners Asks When Starting Unit Testing

Cloud Native Deployments to Assist the Post-COVID Banking Recovery

The unsung hero in our collective response   The world is amidst battling an unprecedented public health crisis and the global economy is facing a potentially protracted recession. The COVID-19 has pushed beyond all borders and now is entrenched as a truly global challenge. With the alarm bells of recession ringing, one can’t help but ponder … Continue reading Cloud Native Deployments to Assist the Post-COVID Banking Recovery

Build Your Own Word/Sentence Prediction Application – Part 02

In part 01 of the series I covered the theories I will be using in the application, and now let’s see how to use it. In this part I won’t be going through the exact details of the theories but just the implementations. Let’s dive in. For a working application sample: https://shining-thiloshon.shinyapps.io/NextIT/ Requirements: R R … Continue reading Build Your Own Word/Sentence Prediction Application – Part 02

Build Your Own Word/Sentence Prediction Application – Part 01 (Theory)

Motivation When we type sentences in our computers or hand-helds, it is often helpful if the application could figure out what we are trying to type and suggest next few words. Google Search and SwiftKey Keyboards are example of this use case. What if we could create an application which does exactly that and is … Continue reading Build Your Own Word/Sentence Prediction Application – Part 01 (Theory)

Brief Cheat Sheet on Natural Language Processing

Drum Roll This is a brief cheat sheet for Natural Language process pipeline. This is by no means, elaborate, just listing the concepts I learned from the Coursera Capstone. The content is from the Capstone project of Data Science Coursera specialization, so the credit goes to the awesome instructors and relevant sources. Frameworks A text … Continue reading Brief Cheat Sheet on Natural Language Processing

Brief Cheat Sheet on Machine Learning in R

April 29, 2017 Re-post from http://rpubs.com/thilo Drum Roll This is a brief cheat sheet for machine learning process pipeline. This is by no means, elaborate, just listing the concepts I learned from the Coursera course. The content is from the Practical Machine Learning course of Data Science specialization of Coursera, so the credit goes to the … Continue reading Brief Cheat Sheet on Machine Learning in R

GSoC 2017: Integrating biodiversity data curation functionality in R (Update)

Last Saturday GSoC came to an end after three months of code chunking, heaps of coffees and countless Skype calls. This post covers what I did in the program for the organization ‘R Language for Statistical Computing’ simply known as ‘R Language’. Synopsis of Proposal      Any data used in data science analyses, either … Continue reading GSoC 2017: Integrating biodiversity data curation functionality in R (Update)