November 2020
Beginner to intermediate
352 pages
8h 43m
English
Now that you understand how to critically assess data and analytics quality, this section prepares you to participate actively in AI and analytics. We organized the chapters around three subsections, which follow the AIA Framework. The first subsection, “Predictive Analytics,” shows you techniques for anticipating outcomes, and illuminates the inner workings of AIA predictive models like machine learning and neural networks. The second subsection, “Causal Analytics,” introduces techniques that help you determine how to influence outcomes using experimental data as well as your existing, on-hand data. In this subsection, we also introduce a framework to help you connect predictive and causal ...
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