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...
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...
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...
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...
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...
(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...
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 ...
A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be the e...
One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we h...
The ability to recognize objects and their relationships is at the core of intelligent behavior. This, in turn, depend on one’s ability of perceiving similarity or di...