Multi-machine create
Seamlessly launch multiple instances Creating multiple machines is now a few clicks away. This feature is great for rolling out machines for a large team, scaling »
Recurrent Neural Networks (RNNs) : Part 1
Building an intuition There is a vast amount of data which is inherently sequential, such as speech, time series (weather, financial, etc.), sensor data, video, and »
Getting started with scikit-learn
The Machine Learning field is growing at a tremendous pace. One of the most interesting aspects of this development is the community created around it. With »
GPU rendering with Octane™ in the cloud
GPU rendering is becoming an industry standard in the fields of Visual Effects, Motion Graphics, and Advertising. By utilizing the high-end graphics cards of today, computers »
Adversarial Autoencoders (with Pytorch)
"Most of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake [base], supervised learning would be the »
A Gentle Introduction to Data Classification with R
Spam or Ham? Most of the data we generate is unstructured. This includes sources like text, audio, video, and images which an algorithm might not immediately »
Distributed rendering in the cloud with Deadline™
Deadline™ is one of the most popular distributed rendering applications and is a must-know tool for anyone working in industries like animation, visual effects, and game »
Creating art with deep neural networks
Introduction to image style transfer using deep learning One of the most interesting discussions today around within machine learning is how it might impact and shape »
Hosting QuickBooks in the Cloud
QuickBooks is the preferred accounting software for more than 30 million small businesses. That's in the US alone. The most visible trend is that more and »