About the course

Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models. and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems.

Who is the course for?

Participants have data engineering or programming experience and are interested in learning how to apply machine learning in practice.

Key Highlights

• Free Enrolment
• Shareable Paid Certificate
• Certfied by Google Cloud
• Financial Aid available

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