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PyTorch has rapidly become one of the most transformative…

Gradient boosting has become quite a popular technique in the area of machine learning. Given its reputation for achieving potentially…

Директор по аналитике больших данных в «МегаФон» Виталий Щербаков рассказал о том, как происходит сбор и аналитика больших данных, как построить предсказательную модель поведения пользователей и как устроиться на работу в компанию. В конце ролика, по традиции…

Remembering what’s important

From creating datasets to testing your program accuracy

A very quick introduction to building a foundation in probability theory for understanding machine/deep learning

Искусственный интеллект: как он есть и каким он должен быть.

По определению, к задачам искусственного интеллекта относятся все задачи, не имеющие точного алгоритмического решения.

Вот и давайте поговорим про нейронные сети, генетические алгоритмы, задачи…

Information Theory

A guide to the less desirable aspects of deep learning environment configurations

Few months ago I mentioned some of the exciting new features that will be included in TensorFlow 2.0.

Syndicated from Springboard.

By Joseph Lee Wei En A step-by-step guide to setting up Python for a complete beginner You can code your own Data Science or Deep Learning project in just a couple of lines of code these days. This is not an exaggeration; many programmers out there ...

Deep neural network (DNN) models such as BigGAN, BERT, and GPT 2.0 have demonstrated that larger DNN models produce better task…

Using a convolutional neural network to measure transcription factor-DNA binding

This post is the third post of the NLP Text classification series.