Time Series for Smart Automation
July 22nd, 2020
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Smart Automation normally goes through three stages. First, "description" to undertsand the the problem being tackled and the underlying data dynamics. Second, "prediction" to validate forward-looking findings and receive human feedback. Finally, "prescription" to continuously support complex human decision-making using data-driven algorithms. The difficulty level increases exponentially for each subsequent stage. In this post you will learn strategies for each these stages from a business perspective.
Often people who know how to train and test Machine Learning models don't know how to deploy them to real production systems. That's a big knowledge gap that will prevent many from realizing the full value of their models. In this course we show how to not only train and test Machine Learning models, but also how to make the operational for real-world use. By the end of the course, you'll be able to deploy APIs that produce real-time predictions that you can request through HTTP calls.