Hello, this is my second article about how to use modern C++ for solving machine learning problems. This time I will show how to make… Read More »Machine Learning with C++ – Polynomial Regression on GPU
Data science had broad applications across many different industries. If we focus on industries that are in the business of buying (some or all) of… Read More »Data Science: Lifecycle approach to data-driven value creation
Over years, a crucial part of data-gathering behavior has revolved around what other people think. With the constantly growing popularity and availability of opinion-driven resources… Read More »Text Mining and Sentiment Analysis – A Primer
Many data scientists have a passion for mathematics, and many modern math problems can be explored using data science. Below is a selection of interesting… Read More »12 Interesting Reads for Math Geeks
In case you’ve missed it, there has been a tremendous number of news stories, social media posts and the like on Bitcoin, Hashing Algorithms, Blockchain,… Read More »Crypto-craze,, A Flavor of PrimeNet
GDPR & Our Data All of sudden lawyers are busy and got lot of work to do on this new thing called as GDPR. Because… Read More »Why GDPR will Make Machine Learning not so legal
In this age of data and convenience, customers across the globe are getting used to great customer experience from numerous companies. Big names such as… Read More »Seamless Customer Experience for Telecoms: A Practical Approach
A time series is a sequence of data points recorded at specific time points – most often in regular time intervals (seconds, hours, days, months… Read More »Time-series data mining & applications
Machine learning has the ability to automate a lot of jobs in the future. It is very easy to talk about this automation when it… Read More »Go Ahead and Automate Jobs
Although I deal with many different types of metrics, I believe they can be generally classified as follows: 1) time use; 2) alignment; 3) production;… Read More »Ecology of Metrics
