Description
AWS SageMaker Practical for Beginners | Build 6 Projects is a complete course to learn AWS SageMaker algorithms (Linear Learner, XGBoost, PCA, image classification) and Learn SageMaker Studio and AutoML. Machine 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 worldwide – several Fortune 500 companies depend 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 linear regression model for forecasting.
- Establishment of production level polynomial regression model to predict store sales based on given characteristics.
- And much more
Who is this course for:
- Artificial intelligence practitioners
- Aspiring data scientists
- Technology enthusiasts
- Data science consultants
Course specifications:
- Publisher : Udemy
- Instructor(s) : Dr. Ryan Ahmed, SuperDataScience Team, Mitchell Bouchard, Ligency Team
- Language : English
- Level : Intermediate
- Duration : 16h 14m
- number of lessons : 109
- Format : mp4
Course contents :
Requirements :
- Basic knowledge of programming
- Basic knowledge in AWS
- Basic knowledge in machine learning
Photos of AWS SageMaker Practical for Beginners | Build 6 Projects
Sample clip:
Installation guide :
After extracting, you can watch the course with your favorite video player.
subtitle : English
quality : 720p
Download links :
Password : www.downloadly.ir
File size :
8.3 GB