Deep learning for cancer research

A recent interesting news from Stanford regarding identification of skin cancer using deep leaning for images.A different project featured by NVIDIA is using deep learning for breast cancer research, where they claim that the error went down 85%.Unrelated, I heard today about Grail who raised 100M$ for cancer detection in blood tests.

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Denoising Dirty Documents – Part 10

In my last blog, I explained how to take advantage of an information leakage regarding the repeated backgrounds in Kaggle’s Denoising Dirty Documents competition. The result of that process was that we had done a fairly good job of removing the background. But the score from doing this was not good enough to get a good placing. We need to do some processing on the image to improve the score.

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Demystifying Data Science in the industry

On June the 7th I had a quick introductory talk at AssoLombarda in Milan regarding the role of Data Scientist into the 4th industrial revolution.
My presentation is an introduction to what Data Science in the industry is and what is not.
If you would like to know more about the Data Science Milan community visit www.datasciencemilan.

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Sample Efficient Evolutionary Algorithm for Analog Circuit Design

In this post, we share some recent promising results regarding the applications
of Deep Learning in analog IC design. While this work targets a specific
application, the proposed methods can be used in other black box optimization
problems where the environment lacks a cheap/fast evaluation procedure.

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