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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.
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AWS Certified Machine Learning Specialty Exam Reference
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploratory Data Analysis | 24% | - Analyze and visualize data
|
| Topic 2: Data Engineering | 20% | - Transform and prepare data
|
| Topic 3: Modeling | 36% | - Evaluate and optimize models
|
| Topic 4: Machine Learning Implementation and Operations | 20% | - Deploy ML models
|
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