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 ...
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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...
Where are developers looking next?
As part of the research underpinning Developer Economics we actively monitor industry trends and opportunities, looking for new areas of significant developer interest. I...
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...
A Beautiful Probability Theorem
We all know that, given two events A and B, the probability of the union A U B is given by the formula P(A U B) = P(A) + P(B) – P( AB) where AB represents the int...
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...
History of MySQL
This article was written on Database Friends. It is on Database, visualization and big data news. Blogs are about MySQL, PostgreSQL, Oracle, SQL Server and other DBMS. M...
Your Guide to Master Hypothesis Testing in Statistics
This article was written by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience. Introduction – the difference in mindset I sta...
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...