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The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. ... plotting the decision regions that ...

The decision to replace an item of farm machinery can be made for several reasons. Cost minimization. The standard rule for minimizing the long-run cost of equipment is to make a change when the annualized total cost of owning and operating the machine begins to increase.

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As it stands today, An executive decision maker would depend more on the human wisdom than machine data. But lets face it, if a robot can take and smartly reject complex questions from human audience, the executive decisions would be taken care of for sure very soon.

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x •The input •These names are the same: example, point, instance, item, input •Usually represented by a feature vector –These names are the same: attribute, feature

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Decision Trees. Classification and Regression Trees or CART for short is a term introduced by Leo Breiman to refer to Decision Tree algorithms that can be used for classification or regression predictive modeling problems.. Classically, this algorithm is referred to as “decision trees”, but on some platforms like R they are referred to by …

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NBER Program(s):Law and Economics, Labor Studies, Public Economics We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences.

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Join Keith McCormick for an in-depth discussion in this video, A quick look at the complete C&RT tree, part of Machine Learning & AI Foundations: Decision Trees.