[ FreeCourseWeb ] 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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