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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...
The Best Answers to Your Most Crucial Deep Learning Questions
(picture from www.re-work.co) Most people keep close eyes on the top of the fast-moving technology trends. There’s no doubt that deep learning is most trending buzzword...
Top programming languages that will be most popular in 2017
The post ‘Top programming languages that will be most popular in 2017‘ was originally posted on the HackerEarth blog. Which is the most preferred programming ...