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Arseny Kravchenko
Arseny Kravchenko

675 Followers

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Published in Ntropy

·Jan 5

Bag of tricks for optimizing machine learning training pipelines

At Ntropy, machine learning models are the core of our tech and product, and we spend a significant share of our engineering efforts improving them. Aiming for quicker iterations, we are constantly looking for ways to improve the efficiency of our machine learning pipelines, while keeping the budgets reasonable. …

Machine Learning

10 min read

Bag of tricks for optimizing machine learning training pipelines
Bag of tricks for optimizing machine learning training pipelines
Machine Learning

10 min read


Apr 30, 2021

Six degrees of freedom: a quick intro to 3D object detection

A simple guide on how to build a computer vision pipeline useful for AR purposes — In computer vision, one often has to work with two-dimensional images, and much less frequently — with 3D objects. For this reason, many ML engineers feel insecure in this area: a lot of unfamiliar words, it is not obvious how to apply the old friends Resnet and Unet. That’s why…

Machine Learning

9 min read

Six degrees of freedom: a quick intro to 3D object detection
Six degrees of freedom: a quick intro to 3D object detection
Machine Learning

9 min read


Oct 3, 2019

8 Deep Learning / Computer Vision Bugs And How I Could Have Avoided Them

People are not perfect, we often make bugs in our software. Sometimes these bugs are easy to find: your code just doesn’t work at all, your app crashes and so on. But some bugs are hidden, and it makes them even more dangerous. Working on deep learning problems, one can…

Machine Learning

11 min read

8 Deep Learning / Computer Vision Bugs And How I Could Have Avoided Them
8 Deep Learning / Computer Vision Bugs And How I Could Have Avoided Them
Machine Learning

11 min read


Published in Open Machine Learning Course

·Mar 12, 2018

Open Machine Learning Course. Topic 6. Feature Engineering and Feature Selection

In this course, we have already seen several key machine learning algorithms. However, before moving on to the more fancy ones, we’d like to take a small detour and talk about data preparation. The well-known concept of “garbage in — garbage out” applies 100% to any task in machine learning…

Machine Learning

23 min read

Open Machine Learning Course. Topic 6. Feature Engineering and Feature Selection
Open Machine Learning Course. Topic 6. Feature Engineering and Feature Selection
Machine Learning

23 min read


Published in Don't Panic, Just Hire

·Jan 24, 2016

Several Biased Reasons Why I Preferred To Be a Software Engineer

Short summary for those who don’t follow my job status updates (actually that’s not a good topic to follow): three months ago I joined Yandex as a Software Engineer after several years of product management career. It caused a lot of questions from my work-related acquaintances. …

Product Management

5 min read

Several Biased Reasons Why I Preferred To Be a Software Engineer
Several Biased Reasons Why I Preferred To Be a Software Engineer
Product Management

5 min read

Arseny Kravchenko

Arseny Kravchenko

675 Followers

ML Engineer. Currently writing a book on ML system design https://arseny.info/ml_design_book

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