Adaptive testing reduces collusion in online tests
“Rensselaer-developed method proven effective in reducing collusion among students”
“When a distanced online test is performed, students receive the same questions, but at varying times depending on their skill level. For instance, students of highest mastery levels receive each question after...
Source: rpi.edu
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning? Ensembles
Why Use Ensemble Learning? - Machine Learning Mastery: What are the Benefits of Ensemble Methods for Machine Learning?
Ensembles are predictive models that combine predictions from two or more other models.
Ensemble learning methods are popular and the go-to technique when the best performance on...
Source: machinelearningmastery.com
14 Different Types of Learning in Machine Learning.
14 Different Types of Learning in Machine Learning: Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence. The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this...
Source: machinelearningmastery.com
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes
A Gentle Introduction to Joint, Marginal, and Conditional Probability: Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables...
Source: machinelearningmastery.com
Bloom's 2 Sigma Problem
I've been looking for another way of presenting evidence for instructional design that is more efficient than simple lectures. The data collected by Benjamin Bloom and published in 1984 seems useful and I've redrawn the graph so it looks more modern than the line drawings of the original. Learning...
Source: wikipedia.org
How to Clean Text for Machine Learning with Python - Machine Learning Mastery: You cannot go straight from raw text to fitting
How to Clean Text for Machine Learning with Python - Machine Learning Mastery: You cannot go straight from raw text to fitting a machine learning or deep learning model. You must clean your text first, which means splitting it into words and handling punctuation and case. In fact, there is a whole suite...
Source: machinelearningmastery.com
Python is the Growing Platform for Applied Machine Learning - Machine Learning Mastery: You should pick the right tool for
Python is the Growing Platform for Applied Machine Learning - Machine Learning Mastery: You should pick the right tool for the job. The specific predictive modeling problem that you are working on should dictate the specific programming language, libraries and even machine learning algorithms to use....
Source: machinelearningmastery.com
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