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Handbook for Learning Data Science

Model Training / Evaluation

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Handbook for Learning Data Science

Welcome
Introduction
Introduction
Life Cycle
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
Infrastructure
Infrastructure
Case Study
Sample Excises and Student projects
Conclusion

Model Training / Evaluation

Comments

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