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Handbook for Learning Data Science
Approaches to Machine Learning Application Development
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GitHub
Handbook for Learning Data Science
GitHub
Welcome
Introduction
Introduction
What is Data Science
Data Science for Everyone
Data Science as a Career Path
Content and Target Users of the Handbook
Contributors and Feedback
Life Cycle
Life Cycle
Overview
Lifecycle of an ML project
Business
Data Life Cycle
MLOps
MLOps
Data Acquisition
Data Preparation
XAI
Privacy, Fairness, Legal Compliance
Approaches to Machine Learning Application Development
Practical Hands-on skills
Practical Hands-on skills
Step-by-Step
Frequent Asked Questions and Answers
Check List
Self-Evaluation on Projects Progress
Infrastructure
Infrastructure
Overview
Data Acquisition, Processing, and Storage
Model Training / Evaluation
Model Deployment / Monitoring
Case Study
Sample Excises and Student projects
Conclusion
Approaches to Machine Learning Application Development
Comments