Explanation
AWS SageMaker practical for beginners | Build 6 Project is a complete course to learn AWS SageMaker algorithms (Linear Learner, XGBoost, PCA, image classification) and Learn SageMaker Studio and AutoML. Machine learning and deep learning are the hottest topics in technology! Various fields have adopted ML and DL techniques, from banking to healthcare, transportation to technology. AWS is one of the most widely used ML cloud computing platforms around the world – several Fortune 500 companies rely on AWS for their business operations. SageMaker is a fully managed service on AWS that allows data scientists and AI professionals to train, test, and deploy AI/ML models quickly and efficiently. In this course, students learn how to create AI/ML models using AWS SageMaker.
What you will learn in this course:
- Train and deploy AI/ML models using AWS SageMaker
- Optimizing model parameters using hyperparameter optimization search.
- Development, training, testing and deployment of a predictive linear regression model.
- Setting up a production rate polynomial regression model to predict store sales based on given characteristics.
- And many more
Who is this course for:
- artificial intelligence professionals
- Data scientists
- technology enthusiasts
- data science consultants
Course specifications:
The course includes:
Requirements:
- Basic knowledge of programming
- Basic knowledge of AWS
- Basic knowledge of machine learning
AWS SageMaker Practical Tutorials for Getting Started | Build 6 Projects
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle : English
Quality: 720p
Download links:
Password: free download software
File size:
8.3GB