Data Science

Про прикладные и теоретические аспекты работы с данными
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    Jul 15, 18
    Jul 15, 18
    Apr 22, 17

    Playing with Crowd-AI mapping challenge - or how to improve your CNN performance with self-supervised techniques

    A small case for searching for internal structure within the data, weighting and training your CNNs properly

    Playing with Variational Auto Encoders - PCA vs. UMAP vs. VAE on FMNIST / MNIST

    TLDR - they are very cool - but useful only on very simple domains and datasets

    Playing with adversarial attacks on Machines Can See 2018 competition

    Or how I ended up in a team that won in the Machines Can See 2018 adversarial competition

    Playing with genetic markers, clustering and visualization. Part 2: I was dumb

    Gosh, I made a stupid mistake

    My portfolio / CV

    Just an up to date list of my accomplishments / competitions / credentials in a human readable form with hyperlinks

    Playing with genetic markers, clustering and visualization

    Mesmerizing structures found in data

    Exploring the limits of unsupervised Machine Learning in Computer Vision

    Or continuation of flat saga (there is no free lunch indeed)

    Applying Deep Watershed Transform to Kaggle Data Science Bowl 2018 (dockerized solution)

    And why this competition was a lottery

    Playing with electricity - forecasting 5000 time series

    Applying random forests and deep encoder-decoder RNNs to time series prediction

    DS in the CIS 2018

    Или с чем вам придется столкнуться на практике, если вы ищете работу в СНГ