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Using ARIMA Models for Forecasting

Posted on November 24, 2021November 24, 2021 by Alex

In this post we describe the fundamentals of using ARIMA models for forecasting. We first…

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Fundamentals of Exponential Families

Posted on October 28, 2021October 28, 2021 by Alex

In this post we describe exponential families. We first motivate them via the problem of…

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The Nyström Method for Finding Eigenpairs of a Kernel Function

Posted on August 29, 2020August 29, 2020 by Alex

In this post we describe the Nyström method for finding the eigenvalues and eigenfunctions of…

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Dealing with Bugs/Deprecated Code in Popular Github Repos: Look at the Forks

Posted on July 2, 2020July 2, 2020 by Alex

Popular papers often have code on Github, but the authors are super busy writing new…

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Decision Trees, Entropy, and Information Gain

Posted on June 20, 2020September 13, 2020 by Alex

An important class of machine learning models is decision trees: you can use them for…

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Some Healthcare Companies Doing Machine Learning

Posted on August 1, 2019 by Alex

In this post we briefly describe some interesting looking companies doing machine learning in the…

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Handling Imbalanced Classification Datasets in Python: Choice of Classifier and Cost Sensitive Learning

Posted on July 24, 2019July 14, 2020 by Alex

In this post we describe the problem of class imbalance in classification datasets, how it…

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Classification Accuracy in R: Difference Between Accuracy, Precision, Recall, Sensitivity and Specificity

Posted on May 26, 2019May 14, 2020 by Alex

In this article we discuss how to evaluate classification accuracy, with a focus on binary…

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Linear Regression: Log Transformation of Features

Posted on April 11, 2019April 11, 2019 by Alex

In linear regression, you fit the model (1)   However, often the relationship between your…

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Causality: Basics, Potential Outcomes, and Counterfactuals

Posted on March 10, 2019March 12, 2019 by Alex

Note: this is loosely based on Coursera’s A Crash Course on Causality: Inferring Causal Effects…

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