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 training can be carried out locally on customer premises in Rhode Island or in NobleProg corporate training centers in Rhode Island.
Auto-Keras is also known as Autokeras or Auto Keras.
NobleProg -- Your Local Training Provider
10 Dorrance Street Suite 700, Providence, RI, united states, 02903
Learn Auto-Keras in our training center in Rhode Island. The venue is located in the Westminster Square Building between VPFitness and Bay Coat and across the street from Scottrade and Koch Eye Associates.
Auto-Keras Course Events - Rhode Island
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-10-11 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-10-25 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-11-08 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-11-22 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-12-06 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
2023-12-20 09:30
RI, Providence - Westminster Square
14 hours
AutoML with Auto-Keras - RI, Providence - Westminster Square
This instructor-led, live training in Rhode Island (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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