The Bayesian community should really start going to ICLR. They really should
have started going years ago. Some people actually have.

For too long we Bayesians have, quite arrogantly, dismissed deep neural networks
as unprincipled, dumb black boxes that…

Официальный репозиторий проекта был запущен буквально пару дней назад. Расскажем немного подробнее об этой новости и приведем полезные источники по теме. /...

Больше года назад, когда я работал антиспамщиком в Mail.Ru Group, на меня накатило, и я написал про эксперименты с malloc. В то время я в свое удовольствие пом...

Naive Bayes is a family of simple but powerful machine learning algorithms that use probabilities and Bayes’ Theorem to predict the category of a text.

65 free data science resources we've hand-picked and annotated for beginners. Learn programming, business analytics, machine learning, and more.

Two Sigma researchers discuss notable advances in deep learning, optimization algorithms, Bayesian techniques, and time-series analysis presented at 2016's Conference on Neural Information Processing Systems (NIPS).

by OMKAR MURALIDHARAN Many machine learning applications have some kind of regression at their core, so understanding large-scale regressi...

In this post, I am going to discuss Deep CorrNet that is described in Correlational Neural Network which is a Common Representation Learning (CRL) technique. I have implemented CorrNet in Python us…

FacebookTwitterLinkedInArtificial Intelligence and Machine Learning play a bigger part in our lives today than most people can imagine. We use intelligent services and applications every day that rely heavily on Machine Learning advances. Voice activation…

Решалась задача анализа текущих предложений на минском рынке недвижимости с целью поиска недооцененных квартир. В качестве источника информации был выбран сайт...

Deep discriminative classifiers perform remarkably well on problems witha lot of labeled data. So-called deep generative models tend to excel whenlabeled tra...

PyTorch Tutorial for Deep Learning Researchers. Contribute to yunjey/pytorch-tutorial development by creating an account on GitHub.

I finally beat the S&P 500 by 10%. This might not sound like much but when we’re dealing with large amounts of capital and with good…

Распознавание автомобильных номеров до сих пор является самым продаваемым решением на основе компьютерного зрения. Сотни, если не тысячи продуктов конкурируют на этом рынке уже на протяжении 20-25...

Tensorflow is not a Machine Learning specific library, instead, is a general purpose computation library that represents computations with graphs. Its core is implemented in C++ and there are also bindings for different languages. The bindings for the Go…

Our own implementation of Neural Message Passing for Computer Vision paper - priba/nmp_qc

This blog post gives an overview of multi-task learning in deep neural networks. It discusses existing approaches as well as recent advances.

Machine Learning and Nonparametric Bayesian Statistics by prof. Zoubin Ghahramani. These lectures are part of the Visiting Professor Programme co-financed by...