The Math of Machine Learning – Berkeley University Textbook
This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS ...
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Correlation Coefficients in One Picture
Correlation coefficients enable to you find relationships between a wide variety of data. However, the sheer number of options can be overwhelming. This picture sums up t...
The simplest explanation of machine learning you’ll ever read
This article was written by Cassie Kozyrkov. You’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you�...
AWK — a Blast from Wrangling Past.
I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my eye at first was the article’s title: ...
Introduction to Authorship Analysis as a Text Classification/Clustering Problem
Guest blog post by Nabanita Roy. Introduction: The art and science of discriminating between writing styles of authors by identifying the characteristics of the persona ...
The Shocking Revelation of Artificial Intelligence Is Changing Cyber Security
There is presently a major discussion raging about whether Artificial Intelligence (AI) is good or bad thing as far as its effect on human life. Bio metric logins are pro...
Google Released Angular 7: What’s New in Angular 7?
AngularJS is a powerful open-source front-end development framework. You can use AngularJS to build rich mobile and web applications. Since the time of its inception, thi...
IoT – where are the stream analytics use cases?
I have been looking at this problem over a few years now The IoT industry often speaks of handling both high volumes and high throughputs of data However, currently, I fi...
Quota Sampling vs. Stratified Sampling
What is the Difference Between Stratified Sampling and Cluster Sampling? The main difference between stratified sampling and cluster sampling is that with cluster samplin...
Calculating Price Elasticity Through KNIME
As per Wikipedia, Price Elasticity of Demand (PED or ED or PE) is a measure used in economics to show the responsiveness, or change, of the quantity demanded of a good or...