AutoML Training Courses in Canada

AutoML Training Courses

Local, instructor-led live AutoML training courses demonstrate through interactive hands-on practice the fundamentals and advanced concepts of AutoML.

AutoML training is available as "onsite live training" or "remote live training". Onsite live AutoML trainings in Canada can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

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AutoML Subcategories in Canada

AutoML Course Outlines in Canada

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Canada (onsite or remote) 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.
14 hours
Overview
This instructor-led, live training in Canada (onsite or remote) is aimed at technical persons with a background in machine learning who wish to optimize the machine learning models used for detecting complex patterns in big data.

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

- Install and evaluate various open source AutoML tools.
- Train high quality machine learning models.
- Efficiently solve different types of supervised machine learning problems.
- Write just the necessary code to initiate the automated machine learning process.
14 hours
Overview
This instructor-led, live training in Canada (onsite or remote) is aimed at machine learning practitioners who wish to use Auto-sklearn 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.
- Build highly accurate machine learning models while bypassing the more tedious tasks of selecting, training and testing different models.
- Use the power of machine learning to solve real-world business problems.
14 hours
Overview
This instructor-led, live training in Canada (onsite or remote) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters.

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

- Automate the machine learning workflow.
- Automatically train and tune many machine learning models within a specified time range.
- Train stacked ensembles to arrive at highly predictive ensemble models.
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