Member since 2022
Feature Engineering
Earned сент. 14, 2022 EDT
Production Machine Learning Systems
Earned сент. 10, 2022 EDT
Certification Learning Path: Professional Machine Learning Engineer
Earned авг. 9, 2022 EDT
Build, Train and Deploy ML Models with Keras on Google Cloud
Earned авг. 2, 2022 EDT
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators. This is the second course of the Advanced Machine Learning on Google Cloud series. After completing this course, enroll in the Image Understanding with TensorFlow on Google Cloud course.
Good news! There’s a new updated version of this learning path available for you!Open the new Professional Machine Learning Engineer Certification Learning Path to begin, once you’ve selected the new path all your current progress will be reflected in the new version.
This course covers building ML models with TensorFlow and Keras, improving the accuracy of ML models and writing ML models for scaled use.