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The AWS Certified Machine Learning - Specialty Exam covers a wide range of topics related to machine learning, including data preparation and feature engineering, model selection and evaluation, training and tuning models, and deploying and managing machine learning models in production environments. AWS-Certified-Machine-Learning-Specialty-JPN exam also focuses on AWS-specific machine learning services, such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend.

Reference: https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf

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Amazon AWS-Certified-Machine-Learning-Specialty (AWS Certified Machine Learning - Specialty) certification exam is designed for professionals who want to demonstrate their expertise in machine learning on the Amazon Web Services (AWS) platform. AWS Certified Machine Learning - Specialty (MLS-C01日本語版) certification exam validates the candidate's ability to design, implement, deploy, and maintain machine learning solutions using AWS services.

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Amazon MLS-C01 (AWS Certified Machine Learning - Specialty) certification exam is designed for individuals who want to validate their expertise in ML on AWS. AWS Certified Machine Learning - Specialty (MLS-C01日本語版) certification is ideal for data scientists and machine learning developers who want to demonstrate their skills in building, training, deploying, and managing ML models on AWS. Candidates must have prior experience in ML and have completed relevant training or have equivalent practical experience. Passing AWS-Certified-Machine-Learning-Specialty-JPN exam requires a deep understanding of ML concepts and practical experience using AWS services and tools.

Understanding functional and technical aspects of AWS Certified Machine Learning Specialty Exam Exploratory Data Analysis

The following will be dicussed here:

• Sanitize and prepare data for modeling
• Perform feature engineering
• Analyze and visualize data for machine learning

Amazon MLS-C01日本語 Exam Syllabus Topics: