From our CBE-powered marketing automation tools to our comprehensive predictive engine for enrollment management, machine learning (or artificial intelligence) is woven into everything we do at Capture Higher Ed. The technology drives our current products and services and its influence only will grow as we iterate and innovate into the future.
But it can be difficult to explain the great potential of machine learning when most people are still trying to wrap their heads around exactly what it is and how it even works.
Writer Vishal Maini — a tech entrepreneur who spends his time “thinking about startups, applied cognitive science, moral philosophy, and the ethics of artificial intelligence” — is here to help. He recently posted a series at Medium.com titled, Machine Learning for Humans, that serves as an accessible, comprehensive and ultimately quite helpful primer on the technology.
Promising “plain-English explanations,” the series discusses why machine learning is important as well as concepts like supervised and unsupervised learning, neural networks and deep learning, and even offers an appendix of the best resources for researching the subject further.
It’s a crash course for everyone on your team, from tech savvy members who want to get up to speed quickly, to non-tech members who need a 101 on machine learning, to those who are simply curious about how machines think.
“This guide is intended to be accessible to anyone,” Maini writes. “Basic concepts in probability, statistics, programming, linear algebra, and calculus will be discussed, but it isn’t necessary to have prior knowledge of them to gain value from this series.”
Read it here at Medium.com.
As you are building your knowledge of machine learning, consider learning more about how this technology can optimized your approach to predicting financial aid allocations. Join Capture’s Brad Weiner, director of data science, and Amanda Scott, senior director of new markets, on Thursday, Sept. 7, for a webinar titled, “The Future of Financial Aid Forecasting: How To Optimize Yield, Increase Revenue And Stay Within Budget.”
Learn how advances in predictive modeling will help you improve your financial aid outcomes. Register now.
By Kevin Hyde, Senior Content Writer, Capture Higher Ed