Search results for "Model Risk"

How to Reframe Your Time Series Forecasting Problem

How to Reframe Your Time Series Forecasting Problem

You do not have to model your time series forecast problem as-is. There are many ways to reframe your forecast problem that can both simplify the prediction problem and potentially expose more or different information to be modeled. A reframing can ultimately result in better and/or more robust forecasts. In this tutorial, you will discover […]

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How to Configure the Gradient Boosting Algorithm

How to Configure the Gradient Boosting Algorithm

Gradient boosting is one of the most powerful techniques for applied machine learning and as such is quickly becoming one of the most popular. But how do you configure gradient boosting on your problem? In this post you will discover how you can configure gradient boosting on your machine learning problem by looking at configurations […]

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Data Leakage in Machine Learning

Data Leakage in Machine Learning

Data leakage is a big problem in machine learning when developing predictive models. Data leakage is when information from outside the training dataset is used to create the model. In this post you will discover the problem of data leakage in predictive modeling. After reading this post you will know: What is data leakage is […]

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Parametric and Nonparametric Machine Learning Algorithms

Parametric and Nonparametric Machine Learning Algorithms

What is a parametric machine learning algorithm and how is it different from a nonparametric machine learning algorithm? In this post you will discover the difference between parametric and nonparametric machine learning algorithms. Let’s get started. Learning a Function Machine learning can be summarized as learning a function (f) that maps input variables (X) to output […]

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Basic Concepts in Machine Learning

Basic Concepts in Machine Learning

What are the basic concepts in machine learning? I found that the best way to discover and get a handle on the basic concepts in machine learning is to review the introduction chapters to machine learning textbooks and to watch the videos from the first model in online courses. Pedro Domingos is a lecturer and professor on machine […]

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