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Machine Learning in the Enterprise
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.
This Course Includes
pluralsight
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2 hour 8 minutes 
english
Online - Self Paced
core courses
pluralsight
About Machine Learning in the Enterprise
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.
What You Will Learn?
- Introduction : 1min.
- Introduction : 1min.
- Understanding the ML Enterprise Workflow : 6mins.
- Understanding the ML Enterprise Workflow : 6mins.
- Data in the Enterprise : 33mins.
- Data in the Enterprise : 29mins.
- Science of Machine Learning and Custom Training : 36mins.
- Science of Machine Learning and Custom Training : 36mins.
- Vertex Vizier Hyperparameter Tuning : 17mins.
- Vertex Vizier Hyperparameter Tuning : 17mins.
- Prediction and Model Monitoring Using Vertex AI : 16mins.
- Prediction and Model Monitoring Using Vertex AI : 16mins.
- Vertex AI Pipelines : 5mins.
- Vertex AI Pipelines : 5mins.
- Best Practices for ML Development : 11mins.
- Best Practices for ML Development : 11mins.
- Course Summary : 0mins.
- Course Summary : 0mins.
- Series Summary : 3mins.
- Series Summary : 3mins.
- Introduction : 0mins.
- Understanding the ML Enterprise Workflow : 0mins.
- Data in the Enterprise : 0mins.
- Science of Machine Learning and Custom Training : 0mins.
- Vertex Vizier Hyperparameter Tuning : 0mins.
- Prediction and Model Monitoring Using Vertex AI : 0mins.
- Vertex AI Pipelines : 0mins.
- Best Practices for ML Development : 0mins.
- Course Summary : 0mins.
- Series Summary : 0mins.