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Roman Kazinnik

- Jun 26, 2018
- 2 min

## Convolutional Neural Networks: insights on multi-scale representation and redundant architecture

https://github.com/romanonly/romankazinnik_blog/tree/master/CVision/CNN Perhaps the greatest about CNN (Convolutional Neural Networks) is that CNN allows int...

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Roman Kazinnik

- Jan 12, 2018
- 7 min

## Beyond Supervised ML: which features are really important? Trial reveals surprising patterns

Trial and error reveal surprising patterns of success—and failure—using different BL and Supervised ML models. When we consider ML (Machine Learning) the imp...

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Roman Kazinnik

- Jan 8, 2018
- 4 min

## An Insight into Data Quality: More Data Equals More Work, But Not Necessarily a Better Model

In the field of data quality and predictive modeling, which modeling metrics are best at “telling the truth,” so to speak? How did I come to this question? I...

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