AWS Certified Machine Learning Specialty 2020 - Hands On!
Ditulis pada: December 05, 2020
- BESTSELLER
- Created by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Solutions Architect & Developer, Frank Kane
- English
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What you'll learn
- What to expect on the AWS Certified Machine Learning Specialty exam
- Amazon SageMaker's built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)
- Feature engineering techniques, including imputation, outliers, binning, and normalization
- High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more
- Data engineering with S3, Glue, Kinesis, and DynamoDB
- Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR
- Deep learning and hyperparameter tuning of deep neural networks
- Automatic model tuning and operations with SageMaker
- L1 and L2 regularization
- Applying security best practices to machine learning pipelines
- Requirements
- Associate-level knowledge of AWS services such as EC2
- Some existing familiarity with machine learning
- An AWS account is needed to perform the hands-on lab exercises
