Nicole Eickhoff“Dead” or Sexy”, Why I’m Sticking with Data ScienceWhen the glitter fades, it’s not all hackathons and Kaggle projects. How I find success — and joy — in the grunt work of deploying code.Jan 28, 2022Jan 28, 2022
Nicole EickhoffTyler, what you've done with this article (and, it appears, your course as well) is create a super…May 14, 20211May 14, 20211
Nicole EickhoffinThe StartupWhy You Don’t Need a Data Scientist: Automatically Selecting the Right Anomaly Detection Modelby Me, a Data Scientist, and my teammates Matt Luebke and Tim Herrmann at ScienceLogic for our tech blog.Apr 29, 2020Apr 29, 2020
Nicole EickhoffinTowards Data ScienceAdventures in Big (mess of) Data: Tools for winning machine learning work through customer empathyThe Data ChallengeFeb 5, 20181Feb 5, 20181
Nicole EickhoffPredicting Wine Production in Virginia Part IVirginia wine, the dream of Jefferson, is finally becoming a reality. In the 1980’s very few producers dared take on the challenge of…May 24, 2017May 24, 2017
Nicole EickhoffOvercoming Bad Data: OCR and Photoshop Solutions for non-machine-readable dataThe main take-away from this post should be teamwork. When the data is terrible, look to your colleagues and people outside the…May 24, 2017May 24, 2017
Nicole EickhoffinTowards Data ScienceGradient Descent: Building the bike as you ride it.“Gradient descent is a first-order iterative optimization algorithm.” -WikipediaMay 8, 2017May 8, 2017
Nicole Eickhoff“Noise & Signal” for Problem StatementsData Scientists need to make our findings relevant to our stakeholders. Sometimes, the results of the data seem obvious. In these cases, we…Apr 24, 2017Apr 24, 2017
Nicole EickhoffRecreational Data Science (Part I)Does an octopus have arms or tentacles? What is the capital of Australia? How many presidents were single while they were in office?Apr 10, 2017Apr 10, 2017
