Are you a data scientist or machine learning engineer interested in learning more about how to analyze and improve the performance and trustworthiness of your machine learning models? Then this live online course is for you! AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University. This offer is exclusively for corporate and government practitioners. All students completing the course receive a certificate, limited edition shirt, and access to the Slack community.

Because this year's UseR 2020 in Munich couldn't happen as an in-person event, I will be giving my workshop on Deep Learning with Keras and TensorFlow as an online event on You can register for FREE via Eventbrite. Deep learning is an artificial intelligence that mimics the workings of a human brain in processing different data, creating patterns and interpreting information that is used for decision making. It is a subfield of machine learning in artificial intelligence and Its networks has the capability to learn, supervised or unsupervised, from data that is either structured or labelled. It is one of the hottest trends in machine learning at the moment and there are many problems where deep learning shines, such as Self Driving Cars, Natural Language Processing, Machine Translations, image recognition and Artificial Intelligence (AI) and so on.

Discuss the good it might do, how it might be used in the future and what the product makers should consider - your privacy, how you want to use it, and how far it should go. This afternoon will allow 14-25 year olds to get hands on with AI products, give you a chance to voice your thoughts and be considered as this technology develops. It's all around us, here's what we think a healthy AI should be: Artificial intelligence might bring to mind futuristic tech, like superhuman robots or devious computer systems. But algorithms that make decisions for us are embedded in emerging and familiar technologies today, from search engines and social networks to facial recognition and self-driving cars. At MozFest 2019, we'll explore how machines are making decisions for us now, and what AI advances are on the horizon.

We've told you about it, and now it's happening. The General Data Protection Regulation (GDPR) recently got approved. Are you and your organization ready to explain your models? Jo-Fai Chow from H2O will lead us in a journey through the construction and interpretation of Machine Learning models, in an hand-on experience open to everybody (previous knowledge of ML is not required). We will discover the use of two R packages, h2o & LIME, for automatic and interpretable machine learning.