Reading the academic literature Text Analytics seems difficult. However, applying it in practice has shown us that Text Classification is much easier than it looks. Most ...
One of the hot topics on Machine Learning is, with no doubts, feature engineering. In fact, it comes before the buzz on this topic, simple when we talk about Data Mining....
Have you ever wondered how to segment your customers? Customer segmentation is a really useful technique to group similar customers together and understand what works for...
To some, the term “business intelligence” may seem like a hilarious oxymoron, but the term is actually not used to describe how smart a business or its owner is. In...
Regardless of your level of experience with data, you need to know about predictive analytics. This type of analytics involves sifting through existing data to see if t...
Healthcare will be one of the biggest beneficiaries of big data & analytics. Here are 10 great data sets to start playing around with & improve your healthcare da...
Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching is sometimes bundled with agriculture, I discu...
Some of the rarely shared trade secrets in machine learning: Original post: on linkedin 1. Bootstrap sampling & the magic number 0.63 Even though randomly sampled...
by Tavish Srivastava Introduction This year saw a huge progress in contribution made by use of analytics / data science . Sometime back, analytics was all about reporti...
As R programming language becoming popular more and more among data science group, industries, researchers, companies embracing R, going forward I will be writing posts o...
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