Building a Failure Prevention System
October 1st, 2020
Coming soon: online store
Subscribe to newsletter to be notified.
Comment to help prioritize content.
Comments not loaded in development.
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 classical and cutting-edge techniques for time-series forecasting using Python. Another of our courses shows how to leverage this sytem to build a Time-Series Forecasting System that is deployed to Google Cloud.
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.