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Gradient Boosting explained [demonstration]

div.demo-wrapper { width: 800px; margin: auto; } div.visualization-wrapper { font-size: 14px; margin-top: 0.5em; margin-bottom: 0.5em; } div.visualization { margin: auto; /*width: 800px;*/ }...

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Gradient Boosting Interactive Playground

Dataset to classify: Prediction: ↑ train loss: test loss: Decision functions of first trees tree depth: learning rate: rotate dataset: rotate trees show gradients on hover use...

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MLHEP 2016 lectures slides

This year my team at Yandex organized MLHEP (Machine Learning in High Energy Physics) summer school in Lund, Sweden. There were two tracks: basic and advanced, lasting for three days + 2 days on neural...

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Occam razor vs. machine learning

Whenever possible, substitute constructions out of known entities for inferences to unknown entities Occam's razor (Russell's version) If Russell was studying Machine Learning our days, he’d probably...

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Jupyter (IPython) notebooks features

Jupyter (IPython) notebooks features¶It is very flexible tool to create readable analyses, because one can keep code, images, comments, formula and plots together: Jupyter is quite extensible,...

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Hamiltonian Monte Carlo explained

div.demo-wrapper { width: 800px; margin: auto; } div.visualization-wrapper { font-size: 14px; margin-top: 0.5em; margin-bottom: 0.5em; } div.controls { margin: auto; padding: 10px 5px;...

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Machine Learning in Science and Industry slides

Recently we (Alex & Tatiana) were invited to give lectures about machine learning at GradDays — an event that is organized twice a year at the Heidelberg University (Germany’s oldest university)....

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Machine learning applied to showers in the OPERA

Abstract: in this post I explain how Machine Learning tools can be applied to particle physics. I'll discuss what is a particle shower, and when it appears in the OPERA and how clustering and...

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Clustering applied to showers in the OPERA

Abstract: in this post I discuss clustering: techniques that form this method and some peculiarities of using clustering in practice. This post continues previous one about the OPERA. Update: now you...

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Einops — a new style of deep learning code

Recently I’ve open-sourced einops — a new (and better) way to write deep learning code. Einops introduces a new notation and new operations. It perfectly complements existing frameworks (pytorch,...

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Twin training: trick for better model comparisons

Abstract: Frequently comparing deep learning models? A simple way to improve comparison is discussed here, this trick becomes specially handy when comparing segmentation models.Reliable comparison of...

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Numbers that lie to you

Either you don’t understand what they mean or how those were cooked.Scientist achieved 92% quality in the problem of …Our system filters out 99% of spam …New vaccine/technique is N% more efficient…This...

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Jupyter (IPython) notebooks features

Jupyter (IPython) notebooks features¶It is very flexible tool to create readable analyses, because one can keep code, images, comments, formula and plots together:Jupyter is quite extensible, supports...

View Article


Image may be NSFW.
Clik here to view.

Hamiltonian Monte Carlo explained

div.demo-wrapper { width: 800px; margin: auto; } div.visualization-wrapper { font-size: 14px; margin-top: 0.5em; margin-bottom: 0.5em; } div.controls { margin: auto; padding: 10px 5px;...

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Machine Learning in Science and Industry slides

Recently we (Alex & Tatiana) were invited to give lectures about machine learning at GradDays— an event that is organized twice a year at the Heidelberg University (Germany’s oldest...

View Article


Image may be NSFW.
Clik here to view.

Machine learning applied to showers in the OPERA

Abstract: in this post I explain how Machine Learning tools can be applied to particle physics. I'll discuss what is a particle shower, and when it appears in the OPERA and how clustering and...

View Article

Image may be NSFW.
Clik here to view.

Clustering applied to showers in the OPERA

Abstract: in this post I discuss clustering: techniques that form this method and some peculiarities of using clustering in practice. This post continues previous one about the OPERA. Update: now you...

View Article


Image may be NSFW.
Clik here to view.

Einops — a new style of deep learning code

Recently I’ve open-sourced einops— a new (and better) way to write deep learning code.Einops introduces a new notation and new operations.It perfectly complements existing frameworks (pytorch,...

View Article

Image may be NSFW.
Clik here to view.

Twin training: trick for better model comparisons

Abstract: Frequently comparing deep learning models? A simple way to improve comparison is discussed here, this trick becomes specially handy when comparing segmentation models.Reliable comparison of...

View Article

Image may be NSFW.
Clik here to view.

Numbers that lie to you

Either you don’t understand what they mean or how those were cooked.Scientists achieved 92% quality in the problem of …Our system filters out 99% of spam …New vaccine/technique is 40% more efficient...

View Article
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