Coursera - Machine Learning in Production
Coursera - Machine Learning in Production
Week 1: Overview of the ML Lifecycle and Deployment
Section 1: The Machine Learning Project Lifecycle
Section 2: Graded Assessment
Section 3: Deployment
Section 4: Graded Assessment
Week 2: Modeling Challenges and Strategies
Section 1: Select and train a model
Section 2: Error analysis and performance auditing
Section 3: Data iteration
Section 4: Modeling challenges
Week 3: Data Definition and Baseline
Section 1: Define Data and Establish Baseline
Section 2: Label and Organize Data
-