Photo by Clem Onojeghuo on Unsplash

Leveraging textual features to provide content-based recommendation via NLP and machine learning.

Introduction

When looking for an album to listen to, we all recognize that emotional content is important for our choice. However, when we’re looking for albums, we can really only search for titles, artists, and genres, which doesn’t totally capture what I mean by emotional content. Instead, we have to read through album reviews if we want to understand what feelings that album may evoke.

I thought that there must be a way to connect these two methods of finding new music, and I wanted to apply some machine learning tools to this interesting dilemma. I realized that it would be…


Photo by Ben Kuo on Unsplash

Using data to uncover ideal wildfire suppression resource placement

Staring out the window of my middle school science classroom, it seemed like Hell itself had arrived on the outskirts of Boulder, Colorado. The smoke practically covered the sun, and the lesson plan was disrupted by the sounds of helicopters and low-flying planes buzzing back and forth to deliver water and flame retardant to the Fourmile Canyon fire. That fire would go on to burn 6,181 acres, destroy 168 homes, and cost an estimated $217 million in property damages.

Unfortunately, that fire is far from an anomaly these days. In 2020, the wildfires in the western United States cost up…


For more insight into my code, see my GitHub.

One day about a year ago, I was browsing some job boards when I saw a position that seemed too good to be true. It ticked all the boxes — salary, location, description, qualifications. Of course, I applied, and very soon, I received a phone call out of the blue. I had been accepted! They were eager to get started on the paperwork. A little too eager, in fact. I did some digging, and became more and more confident that giving any sort of personal information to these people would be a bad call.

As part of the Metis Data…


As part of my Environmental Science program I took during college, I took a few courses on remote sensing. For those who haven’t heard this term, remote sensing refers to the use of sensors to detect information about the earth’s surface or atmosphere from a distance. The classic example is the use of satellites, but there are also sensors used on aircraft, and there’s an emerging application of drones and other small vehicles for remote sensing.

Introduction

I’ll go over a bit of the history of the field, and then get into what kinds of data you can get with remote…


Using data to understand the economic value of scenery.

There are many factors that go into the price of a home. The job market, the quality of the schools, and the size of the home are all obvious factors that alter the final price. What about some less obvious factors, like the scenery? Are people willing to pay more based on what the view is like out the window, or are they more concerned with the availability of jobs and other more conventional factors? That’s the question I set out to answer.

My Mission

To be concrete, my goal with this project was to predict the median sale price of existing…

Patrick Norman

Data scientist passionate about ecology and modeling complex systems.

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