May 2020
Beginner to intermediate
308 pages
7h 48m
English
Keywords: Data-Driven, Process, Models, Algorithms, CRISP-DM, No Free Lunch Theorem, Signal and Noise
In Chapter 2, we considered shortcomings of existing analytics programs – limitations and gaps in culture and organizations. We discussed building a successful analytics program by justifying and selling the concept throughout the organization, then avoiding gaps by redesigning or designing the program for success. In this chapter, we move into the basics that are shared across different data-driven techniques before we launch into upcoming chapters, where we cover each topic independently and more in-depth.
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