Time-Series Forecasting with Python
October 1st, 2020
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Human strengths are in creative thinking to solve complex problems. Machine strengths are in automated data processing for well-defined problems. It's a really bad idea to get humans to do data processing by hand, as well as it's a really bad idea to get a computer to try to solve an abstract problem. You should use the right approach for each problem, and combining human and machine strengths often yields the best results. In this post we go through effective ways of implementing these combinations with actionable insights.
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.