10-21-2024, 07:53 AM
![[Image: 9063d7c883f4aa804bb969030c04a24e.jpg]](https://i124.fastpic.org/big/2024/1021/4e/9063d7c883f4aa804bb969030c04a24e.jpg)
Machine Learning in the Enterprise
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 3m | 205 MB
Created by Google Cloud
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases.
[b]What you'll learn[/b]
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
![[Image: aYzx5GVC_o.jpg]](https://images2.imgbox.com/7d/82/aYzx5GVC_o.jpg)
[b]What you'll learn[/b]
This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing. The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.
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