Smart Automation Can Be Fast Enough
August 12th, 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.
Artificial intelligence is advancing at an increasingly fast pace and may soon play an integral role in how our society functions in everyday life. As this development progresses, it's more important than ever to understand how the systems behind this technology work, and how they fail. This is a guest post for Scalable Path in which we dig into the complex issue of bias in Machine Learning with real-world examples, what causes it, and how we can address it moving forward.