Last update: May 21, 2015.
The content of this page is mainly collected from the web, especially from Quora website. Some of texts were taken "as it is". Searching Google with one of statements hopefully will indicates its source. Sorry for not keeping the…

Tom Mitchell's classic 1997 book

Нейронные сети совершили революцию в области распознавания образов, но из-за неочевидной интерпретируемости принципа работы, их не используют в таких областях, к...

В статье мы расскажем о применении свёрточных нейронных сетей для решения практической бизнес-задачи восстановления реалограммы по фотографии полок с товарами. С...

There is an ocean of books on statistics; where do you start?

A big problem in choosing a beginner book on statistics is that a book may suffer one of two common problems.

It may be a mathematical textbook filled with derivations, special cases, and…

Впервые идея GAN была опубликована Яном Гудфеллоу Generative Adversarial Nets, Goodfellow et alб 2014 , после этого GAN'ы являются одними из лучших генеративнх моделей. Как и у любой другой...

В данной статье приводится доступный теоретический обзор сверточных нейронных сетей (Convolutional Neural Network, CNN) и разъясняется их применение к задаче кла...

Глубокие нейронные сети привели к прорыву во множестве задач распознавания образов, таких как компьютерное зрение и распознавание голоса. Сверточная нейронная се...

Statistical hypothesis tests report on the likelihood of the observed results given an assumption, such as no association between variables or no difference between groups. Hypothesis tests do not comment on the size of the effect if the association or difference…

Айтрекинг для UX-аналитиков — как пицца с ананасами. Одни считают эту технологию сомнительной, а другие от нее в восторге. Мы собрали аргументы «за» и «против»...

This tutorial covers face clustering, the process of finding the unique faces in an unlabeled set of images. We accomplish our face clustering and identity recognition task using OpenCV, Python, and deep learning.

The time is ripe for practical transfer learning to make inroads into NLP.

A foundation in statistics is required to be effective as a machine learning practitioner. The book

Hello! My name is Artur Kuzin, and I’m a Lead Data Scientist at Dbrain. In the past, I was a researcher in the field of Micro and…

A large part of applied machine learning is about running controlled experiments to discover what algorithm or algorithm configuration to use on a predictive modeling problem. A challenge is that there are aspects of the problem and the algorithm called confounding…

With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to outperform humans in tasks such as object and face recognition…

Batch Normalisation does NOT reduce internal covariate shift. This posts looks into why internal covariate shift is a problem and how batch normalisation is used to address it.

Detect pairs of objects in particular relationships.