Amazon Web Services Machine Learning Essential Training

MP4 | Video: 720p | Duration: 3:07:23 | English | Subtitles: VTT | 528.7 MB

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:

How machine learning is used in analytics

AWS AI servers vs. platforms

Predicting using Polly text-to-speech

Predicting using Rekognition for video

Using Lex to build a conversational application

Using the AWS Machine Learning service to train, host, and predict

Working with MXNet in Databricks

Working with EMR for machine learning