Oil & Gas and IoT: The Trio That Takes the Modern Society to a New Level
The domestic economy gets directly and indirectly impacted by the Oil and Gas Industry. It is pretty much noticeable that the oil and gas prices directly affect the econo...
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Can design sprints work for Artificial Intelligence applications?
Can design sprints work for Artificial Intelligence applications? Last week, for the first time, I attended a meetup on Design Sprints( The Design Sprint Underground) I h...
Assumptions of Linear Regression in One Picture
If any of the main assumptions of linear regression are violated, any results or forecasts that you glean from your data will be extremely biased, inefficient or mislead...
When Your Boss Is an Algorithm
This article was written by Alex Rosenblat in the New York Times Opinion. There are nearly a million active Uber drivers in the United States and Canada, and none of th...
Benefits of Employing an IoT Based Mobile Application
The only way of surviving in the market is to continuously transform from an older strategy to a new strategy. It is this transformation that leads the company to another...
How big businesses are using AI to be on the top of the table?
As we all know that artificial Intelligence is slowly slowly becoming the most important and most integral part for the small to big businesses. It helps the business fro...
Machine Learning: Association Rule Mining
Users who bought this… Also bought this…‘, I consider this as the statement of this generation. There is not a single shopping application not showcasing this featu...
Machine Learning : Unsupervised – k-means Clustering and Bootstrapping
This article is in continuation to our previous topic ‘Unsupervised Machine Learning’. Today I’m giving you another powerful tool on this topic named ‘k means Clu...
Python: Implementing a k-means algorithm with sklearn
Originally posted by Michael Grogan. The below is an example of how sklearn in Python can be used to develop a k-means clustering algorithm. The purpose of k-means cl...
Predicting Hotel Cancellations with Support Vector Machines and SARIMA
This is Part 1 of a three part study on predicting hotel cancellations with machine learning. Originally posted by Michael Grogan. Logistic Regression and SVM Hotel can...