In recent years, the demand for machine learning experts has outpaced the supply, despite the surge of people entering the field. To address this gap, there have been big strides in the development of user-friendly machine learning software (e.g. H2O, scikit-learn, keras). Although these tools have made it easy to train and evaluate machine learning […]

Over the last several years, machine learning has become an integral part of many organizations’ decision-making at various levels. With not enough data scientists to fill the increasing demand for data-driven business processes, H2O.ai has developed a product called Driverless AI that automates several time consuming aspects of a typical data science workflow: data visualization, […]

Time-series forecasting is one of the most common and important tasks in business analytics. There are many real-world applications like sales, weather, stock market, energy demand, just to name a few. We strongly believe that automation can help our users deliver business value in a timely manner. Therefore, once again we translated our Kaggle Grand […]

Introducing Accelerated Automatic Pipelines in H2O Driverless AI At H2O, we work really hard to make machine learning fast, accurate, and accessible to everyone. With H2O Driverless AI, users can leverage years of world-class, Kaggle Grand Masters experience and our GPU-accelerated algorithms (H2O4GPU) to produce top quality predictive models in a fully automatic and timely […]

NVIDIA’s GPU Technology Conference (GTC) Silicon Valley, March 26-29th is the premier AI and deep learning event, providing you with training, insights, and direct access to the industry’s best and brightest. It’s where you will see the latest breakthroughs in self-driving cars, smart cities, healthcare, high-performance computing, virtual reality and more, and all because of […]

By Marios Michailidis, Competitive Data Scientist, H2O.ai In this post, I’ll provide an overview of overfitting, k-fold cross-validation, and leakage. I’ll also explain how Driverless AI avoids overfitting and leakage. An Introduction to Overfitting A common pitfall that causes machine learning models to fail when tested in a real-world environment is overfitting. In Driverless AI, […]

#H2OWorld was an incredible experience. Thank you to everyone who joined us! There were so many fascinating conversations and interesting presentations. I’d love to invite you to enjoy the presentations by visiting our YouTube channel. Over the next few weeks, we’ll be highlighting many of the talks. Today I’m excited to share two presentations focused […]