Pearson IT Certification – AWS Certified Machine Learning-Specialty (ML-S)
English | Size: 1.06 GB
This course covers the essentials of Machine Learning on AWS and prepares a candidate to sit for the AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and Operations. Description This 7+ hour Complete Video Course is fully geared toward the AWS Machine Learning-Specialty (ML-S) Certification exam. The course offers a modular lesson and sublesson approach, with a mix of screencasting and headhsot treatment.
Data Engineering instruction covers the ingestion, cleaning, and maintenance of data on AWS.
Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services.
Machine Learning Modeling covers topics including feature engineering, performance metrics, overfitting, and algorithm selection.
Operations covers deploying models, A/B testing, using AI services versus training your own model, and proper cost utilization.