Garbage In, Garbage Out: machine learning has not repealed the iron law of computer science

Garbage In, Garbage Out: machine learning has not repealed the iron law of computer science

Pete Warden writes convincingly about computer scientists’ focus on improving machine learning algorithms, to the exclusion of improving the training data that the algorithms interpret, and how that focus has slowed the progress of machine learning. The problem is as old as data-processing itself: garbage in, garbage out.

Mobile is Changing Everything, and Education is no Exception

Mobile is Changing Everything, and Education is no Exception

As the digital world gets more integrated with daily life, mobile apps are used as tools to get things done and gateways that keep us connected. They help us accomplish work and enjoy our hobbies, coworkers and friends are just a tap away, and our ability to handle tasks, receive information and communicate has been increased exponentially.

 

Understanding The Difference Between #eLearning and #mLearning

Understanding The Difference Between #eLearning and #mLearning #Infographic

Although eLearning (electronic learning, or online learning) and mLearning (mobile learning) seem similar, they have distinct differences. When I think of eLearning, I imagine an ongoing course I take online, that lasts multiple weeks or a semester. I think of mLearning as sitting in my car and looking at a YouTube video on my phone […]