Скачать или смотреть ✅ AWS Machine Learning Exam Questions You Need to Know (MLA-C01)!

Prepare for the AWS Certified Machine Learning – Specialty exam with this full review session. You’ll cover advanced machine learning workflows, deep learning frameworks, natural language processing, recommendation engines, and model deployment at scale. Designed for professionals aiming to validate their advanced ML expertise on AWS.

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✨ Timestamps
Data Engineering
0:38 - Create data repositories for ML
5:11 - Identify and implement a data ingestion solution
8:52 - Identify and implement a data transformation solution
Exploratory Data Analysis
12:44 - Sanitize and prepare data for modeling
16:44 - Perform feature engineering
20:47 - Analyze and visualize data for machine learning
Modeling
25:12 - Frame business problems as machine learning problems
29:23 - Select the appropriate model(s) for a given machine learning problem
32:39 - Train machine learning models
36:14 - Perform hyperparameter optimization
39:56 - Evaluate machine learning models
Machine Learning Implementation & Operations
44:06 - Build ML solutions for performance, availability, scalability, resiliency, and fault tolerance
47:51 - Apply basic AWS security practices to ML solutions
51:42 - Deploy and operationalize ML solutions

📚 Topics Covered
Advanced ML model optimization
Deep learning with TensorFlow and PyTorch on AWS
Natural language processing and computer vision
Recommendation systems with AWS tools
Exam strategy for high-difficulty questions

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AWS Machine Learning Specialty Certification: https://aws.amazon.com/certification

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