3 Analytics Literacy
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Before you read this chapter, just some advice – you may never be asked to program a neural network or an unsupervised machine learning algorithm, but it is essential that you have a rough idea as to how these algorithms work and what these algorithms are good at doing. The goal of these next few pages is to demystify data science and these different algorithms so that everyone of every age is prepared to have an everyday analytics conversation.AI and analytics literacy is understanding how advanced analytic algorithms and concepts work – including machine learning, reinforcement learning, and deep learning – and what types of problems these analytical algorithms can be applied to. This is the most challenging chapter of the book as it will provide a broad overview of the different types of advanced analytic algorithms and concepts. Think of this as a family of additional...
