This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers,… Read More »27 Great Articles About Machine Learning Algorithms
This article was written by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. It consists of summaries, dozens of formulas, and numerous small sections that will help the… Read More »Deep Learning Cheat Sheet for Beginners
There are several thousands of languages in the world and they all have in common that they are defined and explained by some set of… Read More »Introduction to ggplot2 — the grammar
From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years… Read More »The Role of AI in Assisting Customer Experience
Abstract – Last Sunday I was at big retail store in Harare and it was a very busy day due to the fact it was month… Read More »Big Data for FinTech & InsureTech
Being in a highly technical, complex field it is easy to sometimes lose the ‘human aspect’ of the solutions we are developing. We focus on… Read More »Why Analytics Projects Fail – And It’s Not The Analytics!
Here is another guest blog by Josh Wardini. He is the Community Manager at Webmastersjury
Here is a guest blog from Raj Vardhman. Raj is an ardent supporter of responsible gambling and good casino practices, which is why he likes PayPal… Read More »The Success Story of The Biggest Online Payment System -PayPal
Companies and enterprises are facing a daily grind, while they are also required to see to it that their customers are happy & satisfied, operations… Read More »Audience is The Future Business Model, Data Analytics Can Improves It
Today, data scientists are generally divided among two languages — some prefer R, some prefer Python. I will not try to explain in this article which one… Read More »Best practices of orchestrating Python and R code in ML projects
