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...
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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 ...
The Perceptron Algorithm explained with Python code
1. Introduction Most tasks in Machine Learning can be reduced to classification tasks. For example, we have a medical dataset and we want to classify who has diabetes (po...
Preambles and Future Directions
I will be using this blog to assemble a number of different concepts that I introduced over many years in previous blogs (indicated in bold); then I will explain where al...
Deciphering the Neural Language Model
Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and pr...
Want to know how to choose Machine Learning algorithm?
Machine Learning is the foundation for today’s insights on customer, products, costs and revenues which learns from the data provided to its algorithms. Some of the mos...
Naive Bayes Classification explained with Python code
Introduction: Machine Learning is a vast area of Computer Science that is concerned with designing algorithms which form good models of the world around us (the data com...