Free Delivery Over $100
|
|
|||
|
||||
OverviewMastering 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 Full Product DetailsAuthor: Innoware PjpPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 0.80cm , Length: 22.90cm Weight: 0.213kg ISBN: 9798853231849Pages: 154 Publication Date: 22 July 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
