Aleksandra Faust, Senior Research Scientist and Anthony Francis, Senior Software Engineer, Robotics at Google In the United States alone, there are...

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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

Supervised machine learning is often described as the problem of approximating a target function that maps inputs to outputs.

This description is characterized as searching through and evaluating candidate hypothesis from hypothesis spaces.

The discussion…

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.

Skills in deep learning are in great demand, although these skills can be challenging to identify and to demonstrate.

Explaining that you are familiar with a technique or type of problem is very different to being able to use it effectively with open source…

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.