Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine… Read More »Machine Learning – Can We Please Just Agree What This Means
In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from… Read More »Using Convolutional Neural Networks to detect features in sattelite images
For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement. Writing this paper was certainly an intellectual exercise… Read More »Quantitative Alienation in the Workplace
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir… Read More »Artificial Intelligence, Globalization and International Basketball
Abstract – As I mentioned in my earlier blog post “Machine Learning in FinTech – Demystified” you will realise today in payments machine learning is one of many… Read More »Harnessing Machine Learning in Payments
In 2006, marketing commentator Michael Palmer had blogged, “Data is just like crude. It’s valuable, but if unrefined it cannot really be used.” After nine… Read More »Here is How Big Data is changing the Oil Industry
Section 3 was added on October 11. Section 4 was added on October 19. A $2,000 award is offered to solve any of the open… Read More »Interesting Problem: Self-correcting Random Walks
Machine learning is getting more and more popular in applications and software products, from accounting to hot dog recognition apps. When you add machine learning… Read More »DevOps Pipeline for a Machine Learning Project
Data Analytics remains incomplete without data visualization. In a Data Analytics course, I understood how Tableau was a useful tool so as to create and… Read More »Bridging the Skills Gap of New York City ~ A Case Study using Tableau and MySQL
This article was written by Tom Simonite. The nonprofit behind Wikipedia is teaming up with Google to work on algorithmic discussion monitors. Misogyny, racism, profanity—a collection… Read More »13,500 Nastygrams to Train Algorithms to Detect Undesirable Content
