Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science – a question that...
With marketing and advertising gaining more space on the internet, big data analytics are playing a prominent role in following the trends on the market and providing use...
By Dan Kellett, Director of Data Science, Capital One UK Disclaimer: This is my attempt to explain some of the ‘Big Data’ concepts using basic analogies. There are in...
One of the issues I keep running into when dealing with CRM and retention is that of the fake VIPs. What is a VIP? Depending on the vertical VIPs have different names: wh...
Deep data science is a branch of data science that has little if any overlap with closely related fields such as machine learning, computer science, operations research,...
This is a quick, short and concise tutorial on how to impute missing data. Previously, we have published an extensive tutorial on imputing missing values with MICE packa...
Source for picture: click here Python Theano is a python library for defining and evaluating mathematical expressions with numerical arrays. Keras is a minimalist, hig...
1 Background Data science is first and foremost a talent-based discipline and capability. Platforms, tools and IT infrastructure play an important but s...
In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk�...
Machine Learning today tends to be “open-loop” – collect tons of data offline, process them in batches and generate insights for eventual action. There is an emergi...
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