Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has work...
A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an ...
New article by Bill Vorhies. Summary: There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who g...
This article was posted by Roberto Rösler on his personal blog about R and data mining. Roberto is a data scientist working at a major telecommunication company in G...
Deep learning is a sub-category within machine learning and artificial intelligence. It is inspired by and based on the model of the human brain to create artificial neur...
The Zipf distribution is used to model situations in which a few observations have a very high value (or impact) and account for a large part of the total, while a very l...
In this blog I will go a bit more in detail about the K-means method and explain how we can calculate the distance between centroid and data points to form a cluster. Con...
Here, I’ve used the famous Iris Flower dataset to show the clustering in Power BI using R. I’ve used the K-means clustering method to show the different spec...
Here is a guest blog from MIT SMR by Sam Ransbotham. Organizations that turn data into insights are gaining competitive advantage through improved connections with consu...
From advertising and promotion to selling and feedback, marketing chatbots are reducing the cost for companies, saving time, increasing efficiency and creating larger awa...