Modeling in AWS
Key Takeaways
Trains machine learning models using AWS by analyzing modeling concepts
Original Description
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. 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 :
1. Analyze Modeling Concepts and train Machine Learning Models
2. Examine performance of machine learning models
3. Implement automatic model tuning by training a model
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related Reads
📰
📰
📰
📰
Day 28 Part 3: predict_batch() Done, DB Indexes In, Cache Fixed — Numbers Are Moving
Medium · Machine Learning
Day 28 Part 3: predict_batch() Done, DB Indexes In, Cache Fixed — Numbers Are Moving
Medium · Python
Math Homework: Step-by-Step Solver & Scanner
Medium · Machine Learning
Enterprise Synthetic Data Generation for enterprises
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI