Analytics
Exploratory Data Analysis
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.
Pluralsight Teams₹4,166.75 per user/month, billed annually
₹50,004
CompleteBilled Monthly
₹2,370/mo
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Course Insight
Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.
Beginner FriendlySelf-Paced LearningHands-On Learning
SKILLS TO
MASTER
ModelingTrending
Predictive Machine LearningSQL Querying
Relational Data ManagementCareers:Relevant for professionals pursuing roles within Data Science.
💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.
Quick Facts
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What You’ll Learn
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.
See how this course curriculum compares with alternatives
Outcomes
- 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.
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