Building an Edge Machine Learning System
October 1st, 2020
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Everything can be modelled as a time-series. Literally everything. And these time series can be implemented as event streams within software. With the right technology and the right mathematical models, great insights can be produced by analyzing events all around us. In this book go through the design and implementation of time-series forecasting system with Python, and we deploy it to Google Cloud. Another of our courses shows how to leverage this sytem to build a Failure Prevention System.
Machine Learning finds patterns in ways that are impossible for humans, specially when large amounts of data are available. Even though it has been around since the 1950's, it has become very hyped during the last decade because its value can now be materialized at scale due to the explosive increase in data production and computational power, and the massive decrease in computational costs. In this post we go through a high-level view of Machine Learning for Smart Automation, and provide actionable recommendations.