Would you like an easy introduction to machine learning? Without downloading any open source software, reading documentation and blog posts, and/or installing and configuring the system?
Amazon Machine Learning is a great way to explore machine learning without having to run any infrastructure. It lets you build high performance cost effective systems to predict outcomes based on past data.
If you’re interested in learning more about Amazon Machine Learning, you can view my video course on O’Reilly Safari. Over an hour and a half of video talking about all aspects of Amazon Machine Learning.
This course shows you how to build a model using Amazon Machine Learning (Amazon ML) and use it to make predictions. AWS expert Dan Moore covers the basic types of machine learning, how to prepare your data, and how to make your data available to the Amazon Machine Learning processes. You’ll also learn about evaluating a model for accuracy, using it both for batch and real-time predictions, and using tags to manage environments. Designed for developers and technical marketers new to machine learning and for data scientists interested in using the AWS Amazon ML platform, the course provides hands-on experience building a working predictive model using real data. Learners should obtain an AWS account (free from Amazon) and a basic understanding of AWS concepts before beginning the course.
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