Amazon Web Services Machine Learning Essential Training

Amazon Web Services (AWS) offers a wealth of services and tools that help data scientists leverage machine learning to craft better, more intelligent solutions. In this course, learn about patterns, services, processes, and best practices for designing and implementing machine learning using AWS. Instructor Lynn Langit takes a look at general machine learning concepts, including key machine learning algorithm types. She also examines available service types, such as AWS Machine Learning, Lex, Polly, and Rekognition, which you can use to predict image and video labels. Plus, she steps through how to work with platforms like AWS SageMaker, which includes hosted Jupyter notebooks.

Topics include:
Describe business scenarios that benefit from machine learning.
Identify the different types of algorithms used in machine learning.
Explain how Rekognition is used to predict image and video labels.
Demonstrate how to use custom machine learning algorithms with SageMaker.
Compare and contrast deep learning and traditional learning.
Summarize how VariantSpark is used when working with genomic scale data.