Using Confusion Matrices to Quantify the Cost of Being Wrong
There are so many confusing and sometimes even counter-intuitive concepts in statistics. I mean, come on…even explaining the differences between Null Hypothesis and A...
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Convolutional Neural Network (CNN) From Scratch
Introduction In a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons ...
Smart-Gaze: AI powered coding for efficient Eye Tracking
“What you see is what you buy” It is believed that 95% of the purchase decisions happen in the subconscious (let’s call it the reptile brain). The decisions taken b...
Face Landmark Estimation Application
Face Landmark Estimation Application After detecting a face in an image, as seen in the earlier post ‘Face Detection Application’, we will perform face landmark estim...
Comparison of the Most Useful Text Processing APIs
Nowadays, text processing is developing rapidly, and several big companies provide their products which help to deal successfully with diverse text processing tasks. In c...
Going Deeper: More Insight Into How and What Convolutional Neural Networks Learn
In my earlier post I discussed how performing topological data analysis on the weights learned by convolutional neural nets (CNN’s) can give insight into what is being...
Why Digital Transformation Is So Dang Hard?
I recently talked to Clint Boulton, author of “Why digital transformations are lagging” about why Digital Transformation is so hard. His article raises lots of intere...
Sentence Classification using CNNs
Though CNNs have mostly been used for computer vision tasks, nothing stops them from being used in NLP applications. One such application for which CNNs have been used ef...
Scale-Invariant Clustering and Regression
The impact of a change of scale, for instance using years instead of days as the unit of measurement for one variable in a clustering problem, can be dramatic. It can res...
Most Popular Text Analytics Tools and Algorithms
With text analytics, various burning questions around the ‘why’ and ‘what’ of a piece or group of content can be answered. Examples like social media chatter arou...