Deep Learning Resource Matrix
Good afternoon all, For those of you who have an interest, and or involvement in “Deep Learning” or want to learn more I’ve created this matrix. It’s by no means ...
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Linear Regression Geometry
Linear Regression is one of the most widely used statistical models. If Y is a continuous variable i.e. can take decimal values, and is expected to have linear relation w...
Deep Learning in Action
Last year before Christmas at Hochschule München, Fakultät für Informatik and Mathematik I presented about Deep Learning (nbviewer, github, pdf). Mainly concepts (what...
Do you know what is powerful real-time analytics?
In the Digital age today, world has become smaller and faster. Global audio & video calls which were available only in corporate offices, are now available to c...
A Statistical Approach to Pick the Most Impactful Advertising Channel for Product Marketing
In the wake of ZMOT (Zero Moment of Truth), it becomes pivotal for any product company to choose the most appropriate advertisement channel for the promotion of their pro...
How to create a Best-Fitting regression model?
Best Subset Regression method can be used to create a best-fitting regression model. This technique of model building helps to identify which predictor (independent) vari...
5 Machine Learning Research Studies To Understand & Predict Length of Stay in Hospitals
Length of Stay (LOS) is a critical factor in managing hospital quality & economic outcomes in Healthcare. The metric is calculated by summing the total number of days...
Robo-Advisers and the Future of Financial Advice
The wealth management industry is facing a wave of digital disruption. Developments in finance, science and technology have led to a new generation of financial technolog...
An Intro to Predictive Analytics: Can I predict the future?
At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics. ***** Today’s techie topic ...