Marketing Analytics, Data Science and Leadership – March 22, 2021 Week In Review

You’re busy. We get it. We’ve compiled some of the top-clicked and shared articles that you don’t want to miss. Here is a quick review of the top news in marketing analytics, data science, and leadership you should be reading.

Data and AI applications with Palantir for IBM Cloud Pak for Data IBM Developer via @ibmdeveloper

Ontology data attributes are mapped to input parameters of the model, and model scoring output values are mapped to result in data that the app can include in its UI.

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Best of for AI, Machine Learning, and Deep Learning February 2021 via @insidebigdata

This paper argues that prediction accuracy should be improved by emphasizing reducing FPRs at high TPRs for problems where misclassification of the positive samples is associated with higher cost.

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k-Means 101: An introductory guide to k-Means clustering in R via @Rbloggers

In R, you can use the function kmeans() to quickly deploy an efficient k-Means algorithm.

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How to scale AI with a high degree of customization via @venturebeat

Scaling machine learning programs is very different from scaling traditional software because they have to be adapted to fit any new problem you approach.

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