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SUPERVISED LEARNING

Collection by Rosemary Nmavulem Orlu, Ph.D.

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Unsupervised Learning is a type of Machine Learning that looks for previously undetected patterns in the dataset with no pre-existing labels & minimum of human supervision.

For Supervised Learning you need labeled training data to train the Machine Learning model. It can then be presented with real data to create inferences.

Bayes' Theorem Examples: A Visual Introduction For Beginners eBook : Morris, Dan, Koning, Mark: Amazon.ca: Kindle Store

Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to thi…

Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to thi…

Concept of Regression and Classification of Data in Statistics and Data Analytics - a short summary

This is my attempt at helping people visualize Bayes Theorem (conditional probability), so they can intuitively tell what's going on.

Title Slide of Bayes theorem explained

In this article, we will discuss several things related to Naive Bayes Classifier including: 1. Introduction to Naive Bayes. 2. Naive Bayes by Hands. 3. Naive Bayes with Scikit-Learn. Naive Bayes…

"If you can't explain it simply, you don't understand it well enough." That's the basis of the Feynman Technique, a four-step process which can help you learn anything quickly. Here's how to use it.

This blog post was originally published as part of an ongoing series, Popular Algorithms Explained in Simple English on the AYLIEN Text Analysis Blog. Pictu…

Principal Component AnalysisStatistics for Data ScienceLogistic RegressionData CleaningTesting of HypothesisStandard DeviationML FrameworkRegressionText NormalizationPopulation vs SampleCovariance …