What Will You Learn?
• Learn new concepts from industry experts• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate
About This Course
Provider: coursera
Format: Online
Duration: 6 hours to complete [Approx]
Target Audience: intermediate
Learning Objectives: you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning
project leader.
Course Prerequisites: This course is part of the Deep Learning SpecializationWhen you enroll in this course, you'll also be enrolled in this
Specialization.
Assessment and Certification: Earn a Certificate upon completion from the relevant Provider
Instructor: Andrew Ng
Key Topics: ML,Evaluation Metric,Optimizing Metric,Human-level Performance
Topic Covered:
- - Why ML Strategy
- - Preview module
- - Orthogonalization
- - Single Number Evaluation Metric
- - Satisficing and Optimizing Metric
- - Train/Dev/Test Distributions
- - Size of the Dev and Test Sets
- - When to Change Dev/Test Sets and Metrics?
- - Why Human-level Performance?
- - Avoidable Bias
- - Understanding Human-level Performance
- - Surpassing Human-level Performance
- - Improving your Model Performance•
- - Andrej Karpathy Interview
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