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Mastering AWS Certified Machine Learning - Specialty

- Exam Preparation Guide

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Mastering AWS Certified Machine Learning - Specialty af Innoware Pjp
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Mastering AWS Certified Machine Learning - Specialty: Exam Preparation Guide Table of Contents Chapter 1: Introduction to AWS Certified Machine Learning - Specialty Exam Chapter 2: AWS Machine Learning Fundamentals Chapter 3: Data Engineering on AWS Chapter 4: Exploratory Data Analysis and Feature Engineering Chapter 5: Model Selection and Evaluation Chapter 6: Deploying Machine Learning Models on AWS Chapter 7: AWS Machine Learning Services in Action Chapter 8: Best Practices for Deploying and Managing Machine Learning Applications on AWS Chapter 9: Final Exam Preparation Chapter 10: Real-World Machine Learning Applications on AWS Chapter 11: Emerging Trends in Machine Learning on AWS Chapter 12: Machine Learning Ethics and Responsible AI on AWS Chapter 13: Case Studies of Machine Learning on AWS Chapter 14: AWS Machine Learning Services Deep Dive Chapter 15: Advanced Machine Learning Techniques Chapter 16: Deploying Machine Learning Models on AWS Chapter 17: Model Monitoring and Management on AWS Chapter 18: Model Governance and Ethical Considerations Chapter 19: Model Explainability and Interpretability Chapter 20: Deploying Machine Learning Models at Scale on AWS

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798853231849
  • Indbinding:
  • Paperback
  • Sideantal:
  • 154
  • Udgivet:
  • 22. juli 2023
  • Størrelse:
  • 152x229x8 mm.
  • Vægt:
  • 213 g.
  • 2-3 uger.
  • 12. december 2024
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Beskrivelse af Mastering AWS Certified Machine Learning - Specialty

Mastering AWS Certified Machine Learning - Specialty: Exam Preparation Guide Table of Contents Chapter 1: Introduction to AWS Certified Machine Learning - Specialty Exam
Chapter 2: AWS Machine Learning Fundamentals
Chapter 3: Data Engineering on AWS
Chapter 4: Exploratory Data Analysis and Feature Engineering
Chapter 5: Model Selection and Evaluation
Chapter 6: Deploying Machine Learning Models on AWS
Chapter 7: AWS Machine Learning Services in Action
Chapter 8: Best Practices for Deploying and Managing Machine Learning Applications on AWS
Chapter 9: Final Exam Preparation
Chapter 10: Real-World Machine Learning Applications on AWS
Chapter 11: Emerging Trends in Machine Learning on AWS
Chapter 12: Machine Learning Ethics and Responsible AI on AWS
Chapter 13: Case Studies of Machine Learning on AWS
Chapter 14: AWS Machine Learning Services Deep Dive
Chapter 15: Advanced Machine Learning Techniques
Chapter 16: Deploying Machine Learning Models on AWS
Chapter 17: Model Monitoring and Management on AWS
Chapter 18: Model Governance and Ethical Considerations
Chapter 19: Model Explainability and Interpretability
Chapter 20: Deploying Machine Learning Models at Scale on AWS

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