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    Understanding and Assessing Machine Learning Algorithms

    This article is the third in a series of articles called, “Opening the Black Box: How to Assess Machine Learning Models.” The first piece, “What Kind of Problems Can Machine Learning Solve?” was published last October. The second piece, “Selecting and Preparing Data for Machine Learning Projects” was published in May. Chief financial officers today face more opportunities to engage with machine learning within the corporate finance function of their organizations. As they encounter these projects, they’ll work with employees and vendors and will need to communicate effectively to get the results they want. The good news is that finance executives can have a working understanding of machine learning algorithms, even if…

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