That which is measured improves – Karl Pearson, Mathematician. Almost everyone has heard of accuracy, precision, and recall – the most common metrics for supervised learning. But not as many people know the metrics for unsupervised learning. So, in this article, we will take you through the most common methods and how to implement them. […]

Torch is a scalable and efficient deep learning framework. It offers flexibility and speed to build large scale applications. It also includes a wide range of libraries for developing speech, image, and video-based applications. The basic building block of Torch is called a tensor. All the operations defined in Torch use a tensor. Ok, let’s […]

In this article, I will show you how to build a Spotify Exploratory Data Analysis (EDA) app using H2O Wave from scratch. H2O Wave is an open-source Python development framework for interactive AI apps. You do not need to know Flask, HTML, CSS, etc. H2O Wave has ready-to-use user-interface components and charts, including dashboard templates, […]

There are three major branches of machine learning (ML): supervised, unsupervised, and reinforcement. Supervised learning makes up the bulk of the models businesses use, and reinforcement learning is behind front-page-news-AI such as AlphaGo. We believe unsupervised learning is the unsung hero of the three, and in this article, we break down four key ways you […]

Note: this blog post was first published on Thomas’ personal blog Neural Market Trends. I recently had to set up H2O’s Wave Server on AWS Lightsail and build a simple Wave App as a Proof of Concept. If you’ve never heard of H2O Wave then you have been missing out on a new cool app […]

If you can’t explain it to a six-year-old, you don’t understand it yourself. – Albert Einstein One fear caused by machine learning (ML) models is that they are blackboxes that cannot be explained. Some are so complex that no one, not even domain experts, can understand why they make certain decisions. This is of particular […]

Earlier this year, my colleague Vishal Sharma gave a talk about time series forecasting best practices. The talk was well-received so we decided to turn it into a blog post. Below are some of the highlights from his talk. You can also follow the two software demos and try it yourself using our H2O AI […]

I would like to share with you a simple yet very effective trick to improve feature engineering for text analytics. After reading this article, you will be able to follow the exact steps and try it yourself using our H2O AI Cloud. First of all, let’s have a look at the off-the-shelf natural language processing […]

KNIME and H2O.ai, the two data science pioneers known for their open source platforms, have partnered to further democratize AI. Our approaches are about being open, transparent, and pushing the leading edge of AI. We believe strongly that AI is not for the select few but for everyone. We are taking another step in democratizing […]

H2O-3 is, at its core, a platform for distributed, in-memory computing. On top of the distributed computation platform, the machine learning algorithms are implemented. At H2O.ai, we design every operation, be it data transformation, training of machine learning models or even parsing to utilize the distributed computation model. In order to work with big data […]