Udemy - AWS Certified Machine Learning Specialty 2020 - Hands On

[ FreeCourseWeb.com ] AWS Certified Machine Learning Specialty 2020 - Hands On



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BESTSELLER | Created by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Solutions Architect & Developer, Frank Kane | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 09:14 H/M | Lec: 109 | 3.35 GB | Language: English | Sub: English [Auto-generated]



Learn SageMaker, feature engineering, model tuning, and the AWS machine learning ecosystem. Be prepared for the exam!



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



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



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