S.A.M. Uses Machine Learning Services Hosted on AWS to Predict Crime
From AWS Machine Learning in Motion by Kesha Williams
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You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you’ve never built a machine learning model before. This interactive liveVideo course gives you a crash course in using AWS for machine learning, teaching you how to build a fully-working predictive algorithm. Here’s a visualization of how S.A.M. works with these machine learning services to predict crime.
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About the author:
Kesha Williams is a software engineer with over 20 years’ experience specializing in application development using Java, Angular, and Amazon Web Services. In addition to being a software engineer, she trains and mentors thousands of software engineers in the US, Europe, and Asia while teaching technology courses at the university level. She also developed S.A.M. (http://www.iamsam.tech/) which can predict the likelihood of crime in a certain area using machine learning.
Originally published at freecontent.manning.com.