Loading Events

« All Events

  • This event has passed.

Livestream: Introducing Studio.ML: Simplifying ML Model Development

October 12, 2017 @ 8:30 pm - 9:30 pm

NOTE: Please sign-in at via the Livestream link below. Thank you!  

Studio.ml is an early-stage, ML model management framework written in Python and developed to minimize the overhead involved with scheduling, running, monitoring and managing artifacts of your machine learning experiments. 

Most of the features are compatible with any Python ML framework, including Keras, TensorFlow, PyTorch, and scikit-learn (additional features available for Keras and TensorFlow). This code is still in the early phases of development, but we want to share our work and encourage developers to try it, report back problems, ask questions, provide feedback and contribute.

About Metis 

Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco. 

Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.

Learn more about us at https://thisismetis.com.

Sign up for Demystifying Data Science: A Free Online Conference 

Join our Metis Community Slack channel! 
Apply here: https://bit.ly/metis-community-slack

Metis Code of Conduct 

Metis is dedicated to providing a harassment-free experience for everyone, regardless of gender identity, age, sexual orientation, disability, physical appearance, body size, race, or religion (or lack thereof).

We do not tolerate harassment of students, staff, or visitors in any form. Sexual language and imagery is not appropriate for any event including talks, workshops, parties, and other online media. Individuals and groups that do not abide by these rules will be asked to leave and, if necessary, prohibited from future events.

If you have any questions or you’re made to feel uncomfortable by anyone on our campus or at one of our offsite events, please let one of the staff members know right away. The matter will be taken seriously and promptly addressed.


October 12, 2017
8:30 pm - 9:30 pm
Event Category:


Metis Livestream
Chicago, IL us


Metis: Chicago Data Science