Machine Learning.

What’s in the Future for Predictive Lead Scoring?
28 November 2018 | by Lucy Li
It was only a few years ago that people were proclaiming that the future of B2B marketing had arrived in the form of predictive lead...

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Decision Trees Are Usually Better Than Logistic Regression
25 October 2018 | by Tim Bock

If you’ve studied a bit of statistics or machine learning, there is a good chance you have come across logistic regression (aka binary logit). It

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What is Feature Engineering?
25 October 2018 | by Tim Bock
Feature engineering refers to a process of selecting and transforming variables when creating a predictive model using machine learning or statistical modeling (such as deep...

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Using Displayr
Feature Engineering in Displayr
25 October 2018 | by Tim Bock

Feature engineering refers to the process of manipulating predictor variables (features) with the goal of improving a predictive model. In this post I outline some of the

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Feature Engineering for Categorical Variables
24 October 2018 | by Tim Bock

When creating a predictive model, there are two types of predictors (features): numeric variables, such as height and weight, and categorical variables, such as occupation

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Using Displayr
How to do Logistic Regression in Displayr
24 October 2018 | by Tim Bock
In this post I describe how to perform a logistic regression in Displayr. I illustrate the basics using a data set on customer churn for...

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Feature Engineering for Numeric Variables
24 October 2018 | by Tim Bock

When building a predictive model, it is often practical to improve predictive performance by modifying the numeric variables in some way. In statistics, this is

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What is Deep Learning?
14 August 2018 | by Jake Hoare
Deep learning is a subset of machine learning. Like other machine-learning techniques, deep learning creates a mapping from input data to a target outcome. After...

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How Random Forests Fit to Data
06 August 2018 | by Jake Hoare
A random forest is a collection of decision trees. The forest learns patterns in data and makes predictions based on those patterns. In this post,...

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tree on a hill
How is Splitting Decided for Decision Trees?
02 August 2018 | by Jake Hoare
Decision trees are a machine learning technique for making predictions. They are built by repeatedly splitting training data into smaller and smaller samples. This post...

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What is a Decision Tree?
01 August 2018 | by Jake Hoare
A decision tree makes predictions based on a series of questions. The outcome of each question determines which branch of the tree to follow. They...

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What is a Random Forest?
How is Variable Importance Calculated for a Random Forest?
30 July 2018 | by Jake Hoare
After training a random forest, it is natural to ask which variables have the most predictive power. Variables with high importance are drivers of the...

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Four Ways to Write Better Stan Code
12 July 2018 | by Mathew McLean
Writing Stan programs can be tricky so if you're already familiar with it - you're ahead of the curve. But maybe you want to find...

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What is a ROC Curve and How to Interpret It
05 July 2018 | by Carmen Chan

A Receiver Operator Characteristic (ROC) curve is a graphical plot used to show the diagnostic ability of binary classifiers. It was first used in signal

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Predict Customer Churn with Gradient Boosting
03 July 2018 | by Jake Hoare
Customer churn is a key predictor of the long term success or failure of a business. But when it comes to all this data, what's...

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How to Export LDA Functions from Q into Excel
14 December 2017 | by Chris Facer

When using linear discriminant analysis (LDA) in market research, a common need is to obtain what are known as discriminant functions. These allow the analysis

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Exporting LDA Functions from Displayr into Excel
08 December 2017 | by Jake Hoare

In this post I show how discriminant functions can be extracted from a Linear Discriminant Analysis in Displayr. Such functions are often used in Excel

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Using Displayr
How to run Linear Discriminant Analysis in Displayr
17 October 2017 | by Jake Hoare
In this post I explain how to perform Linear Discriminant Analysis in Displayr. Linear Discriminant Analysis is a machine learning technique that can be used...

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