Tag: Data Science
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Using Tensorboard with Multiple Model Runs
I tend to use Keras when doing deep learning, with tensorflow as the back-end. This allows use of tensorboard, a web interface that will chart loss and other metrics by training iteration, as well as visualize the computation graph. I noticed tensorboard has an area of the interface for showing different runs, but wasn’t able […]
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Interview and Upcoming Projects
Here is a recent interview I did for CLK Tech. CLK Tech is a newsletter based out of Northeast Ohio, run by a couple of tech recruiters in the area. Topics span general career questions and data science in particular. In addition, I’m busy with a project that I look forward to announcing soon. It’s […]
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The Math of Machine Learning
(hover for CC attribution) One of the challenges of data science in general is that it is a multi-disciplinary field. For any given problem, you may need skills in data extraction, data transformation, data cleaning, math, statistics, software engineering, data visualization, and the domain. And that list likely isn’t inclusive. One of the first questions […]