Preferential access with accreditation. In case of not completing capacity it will be possible to be acceded with public entrance.
In the MasterClass, Kyle McDonald will make an overview of the contemporary ML landscape, with an emphasis on techniques that are accessible and relevant to artists and other creative people. We will focus on a high-level understanding of ML that demystifies the field by providing a framework for understanding how techniques and toolkits are related to each other, with some discussion of the social complexity behind their development and dissemination. Attendees will leave with a better understanding of what tools might be used in their work, which techniques are relevant to their domain, the state of the art in various relevant tasks, and a starting point for teaching themselves about new techniques as they emerge in the future.
Machine learning (ML) means automating tasks by providing examples (training data) instead of writing instructions (code). ML has come of age in the last decade. Fueled by the rise of new algorithms, new hardware, new toolkits for efficiently solving complex problems, and huge datasets compiled from everything from sensor networks and surveillance cameras to social media. In 2012 we saw the first algorithms able to effectively identify objects in everyday images, and within three years the research had moved on to generating complete captions for those same images, or generating images from captions. Today ML is everywhere: from language translation, to text to speech, music recommendation, transportation, advertising, even our online relationships are optimized by ML. In spite of this impact on society, these algorithms are still disproportionately opaque and their costs are only starting to be understood.
You can now sign up through the Networking App Limited seats available - book yours at Agenda. Even if the masterclass is full, you can go to the auditorium 15 minutes prior to starting as there are always last minute cancellations.