As a students-first organization, we strive to transform our learners’ lives every day. All of our Nanodegree programs and scholarships are guided by this one mission: To train the workforce in the careers of the future.
To celebrate our learners, we selected a handful of empowering stories from students who participated in the first phase of the scholarship program. And as you read these testimonials, we hope that you’re inspired to further your education — regardless of the program.
In the past few years, more data has been produced than in the millennia of human history before. This data represents a gold mine in terms of commercial value and also important reference material for policy makers. But much of this value will stay untapped — or, worse, be misinterpreted — as long as the tools necessary for processing the staggering amount of information remain unavailable.
In this article, we’ll look at how machine learning can give us insight into patterns in this sea of big data and extract key pieces of information hidden in it.
Over the course of an hour, an unsolicited email skips your inbox and goes straight to spam, a car next to you auto-stops when a pedestrian runs in front of it, and an ad for the product you were thinking about yesterday pops up on your social media feed. What do these events all have in common? It’s artificial intelligence that has guided all these decisions. And the force behind them all is machine-learning algorithms that use data to predict outcomes.
Now, before we look at how machine learning aids data analysis, let’s explore the fundamentals of each.
Machine learning is no longer a sci-fi concept, but an actual application of AI technology we use every day. Machine learning engineers focus on developing computer programs that can access data and use it to learn themselves.
Their daily work involves helping machines learn by creating and fine-tuning training datasets, developing machine learning models, and testing these datasets and models on machines. The goal is for the machine to be able to make informed decisions without the direct instruction of a human.
Graduating from a Nanodegree program is no small feat and definitely an accomplishment worth celebrating. One of our students, David Hundley, has recently graduated from his 10th Nanodegree program, and is now working on his 11th!
In just over a year, he was able to use the skills he learned across different Nanodegree Programs to transition into a Machine Learning Engineer role. Here’s David’s story: