How many times you have listened to the advice of your friend/colleague or someone you know, to invest in stock market? Many people have gained… Read More »Digital Transformation and high-tech Robo-Advisor – do you need one?
This article was written by Yhat. Introduction One of my favorite things about Python is that users get the benefit of observing the R community… Read More »Pandasql: Make python speak SQL
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly… Read More »Data Science: Identifying Variables That Might Be Better Predictors
This post is the fourth part of the multi-part series on how to build a search engine – How to build a search engine – Part 1: Installing the… Read More »How to build a search engine: Part 4
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »18 Great Blogs Posted in the last 12 Months
1. Abstract The objective of this paper is to present the process of building a Deep Learning Model for optimising the output for a Production Process… Read More »Building a Deep Learning Model for Process Optimisation
When I first heard the term Big Data few years ago, I didn’t think much of it. Soon after, Big Data started appearing in many… Read More »What I Always Wanted To Know About Big Data* (*but was afraid to ask)
We all set New Year’s Resolutions. Unfortunately, research suggests that 63% of us break them within just one month. However, if there is one New Year’s Resolution that… Read More »Is your New Year’s Resolution to Improve your CRM Data?
It’s all over for us humans. It may not have been “The Matrix”[1], but the machines look like they are finally poised to take our… Read More »Design Thinking: Future-proof Yourself from AI
In this article, we shall see how the Bayesian Kalman Filter can be used to predict positions of some moving particles / objects in 2D. This article… Read More »Using Bayesian Kalman Filter to predict positions of moving particles / objects in 2D (in R)
