Modeling in AWS is the third course in the AWS Certified Machine Learning Specialty specialization. The major focus of this course is to train Machine learning Models by analyzing Modeling concepts in AWS. This course is divided into two modules and each module is further segmented by Lessons and Video Lectures.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
This course facilitates learners with approximately 1:30 Hours- 2:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
Module 1: Modeling and Training Machine Learning Models in AWS
Module 2: Machine Learning Models: Performance evaluation and Tuning
By the end of this course, Learners will be able to :
- Analyze Modeling Concepts and train Machine Learning Models
- Examine performance of machine learning models
- Implement automatic model tuning by training a model
Course 3 of 5 in the Exam Prep MLS-C01: AWS Certified Specialty Machine Learning Specialization.
What You Will Learn
- Analyze Modeling Concepts and train Machine Learning Models
- Examine performance of machine learning models
- Implement automatic model tuning by training a model
Syllabus
WEEK 1
Modeling and Training Machine Learning Models in AWS
Welcome to Week 1 of Modeling in AWS course. We’ll Introduce Modeling Concepts in Machine Learning in the beginning. We’ll also describe the concept of Training machine learning models. The week will end with a demonstration on how to train machine learning models.
WEEK 2
Machine Learning Models: Performance evaluation and Tuning
Welcome to Week 2 of Modeling in AWS course. In this week, we'll deploy and evaluate performance of ML models. We'll also perform automatic model tuning in ML. By the end of this week, we'll Train a model after automatic model tuning.
