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

The following will be discussed in AMAZON MLS-C01 exam dumps:

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

Recommended Experience

Before registering for the AWS Certified Machine Learning – Specialty exam, the applicant should ensure meeting some prerequisites as stated by the vendor. First, working experience of 1-2 years in running ML workloads as well as their development and architecting on AWS cloud is a must for the candidate. Moreover, it is recommended to have practical skills in executing the hyperparameter optimization, deep learning and ML frameworks, and operational and model-training best practices for AWS Machine learning.

AWS Certified Machine Learning Specialty Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our AWS Certified Machine Learning Specialty exam dumps will include the following topics:

• Domain 2: Exploratory Data Analysis 24%
• Domain 4: Machine Learning Implementation and Operations 20%
• Domain 3: Modeling 36%
• Domain 1: Data Engineering 20%

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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