AWS SageMaker: Modeling With AWS Machine Learning

AWS SageMaker has been the industry leader, offering many services that complement the entire lifecycle from data preparation to model deployment. Once you identified machine learning is the right fit for your business problem.

Your next step will be to identify the right machine learning type which helps you in finding the right Model for Modeling with AWS Machine Learning. Machine learning has three learning types i.e. Supervised Learning, Reinforcement Learning, and Unsupervised Learning.

Want to know more about Modeling With AWS Machine Learning? Read the blog post at https://k21academy.com/awsml19 to learn more.

The blog post covers:
• Machine Learning Life Cycle
• Linear Learner and XGBoost
• K-Nearest Neighbours and Random Cut Forest
• Fundamentals of Hyperparameter

If you are planning to become an AWS Certified Machine Learning – Specialty Certification, then join the waitlist at https://k21academy.com/awsml02.

Also, do not forget to join our FREE Telegram group at https://t.me/k21amazonaws and be the first to receive AWS-related news and updates.