Auto-Keras Training in Maryland

Auto-Keras Training in Maryland

Online or onsite, instructor-led live Auto-Keras training courses demonstrate through interactive hands-on practice how to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

Auto-Keras training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Auto-Keras trainings in Maryland can be carried out locally on customer premises or in NobleProg corporate training centers.

Auto-Keras is also known as Autokeras or Auto Keras.

NobleProg -- Your Local Training Provider

MD, Baltimore - Legg Mason Tower

MD, Baltimore - Legg Mason Tower
100 International Drive 23rd Floor
Baltimore, MD 21202
United States
See map: Google Maps
Maryland US
 MD, Baltimore - Legg Mason Tower
Learn Auto-Keras in our training center in Maryland.

A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination...

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Auto Keras Course Events - Maryland

Auto Keras Course Outlines in Maryland

Course Name
Course Name
14 hours
This instructor-led, live training in Maryland (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

By the end of this training, participants will be able to:

- Automate the process of training highly efficient machine learning models.
- Automatically search for the best parameters for deep learning models.
- Build highly accurate machine learning models.
- Use the power of machine learning to solve real-world business problems.

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