Women In Machine Learning: Lauren Edelson

One of the most fascinating things about Machine Learning—and those who work in the field—is the remarkable scope of what’s so rapidly becoming possible because of this technology. The applications are almost limitless, and we witness this every time we talk to a Machine Learning specialist.

Lauren

Lauren Edelson is a perfect example, as you’ll see from her responses to our questions below. Lauren was gracious enough to share a great deal of insight and experience with us, and her answers cover a wide range of subjects, including computer science, the relationship of bioinformatics to Machine Learning, and Machine Learning impacts on fraud detection. When queried specially about all the different ways Machine Learning informs our modern lives, she mentioned everything from healthcare and Uber, to Spotify and the tracking of presidential election swing votes!

If you have any lingering doubts as to whether Machine Learning is an exciting field, banish those doubts, and read on!

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Women In Machine Learning: Katie Malone

The excitement around our Machine Learning Nanodegree program has been amazing to witness, and the vitality and dynamism in the space right now is pretty incredible. There are so many fascinating storylines in the world of Machine Learning, it’s sometimes hard to even know what to focus on. But unquestionably, the people working in this field—those individuals at the cutting-edge of these new technologies—are a critical part of the Machine Learning narrative. One of the things I find personally really exciting is how many women are shaping the future of Machine Learning. My former colleague Katie Malone is a wonderful example of this, and I’m very grateful she was able to take some time recently to talk Machine Learning with us!

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