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Understanding functional and technical aspects of AWS Certified Machine Learning - Specialty Modeling
The following will be discussed in AMAZON MLS-C01 exam dumps:
- Select the appropriate model(s) for a given machine learning problem
- Perform hyperparameter optimization
- Train machine learning models
- Evaluate machine learning models
- Frame business problems as machine learning problems
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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.
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Getting the Results
The minimum passing score for this test is 750 marks. The result will be reported on a scale of 100-1000. Note that there might be some unscored items in the exam that are not identified but don't affect your score. Also, always keep in mind that you don't need to succeed in each section to get a pass status and obtain the certification — only a total amount of points matters. The report is only needed to show individuals their performance in each domain and help them identify what are their weak and strong areas of Machine Learning.
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