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A Roadmap to Machine Learning Algorithm Selection

KDnuggets

The goal of this article is to help demystify the process of selecting the proper machine learning algorithm, concentrating on "traditional" algorithms and offering some guidelines for choosing the best one for your application.

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Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

KDnuggets

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

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Time Complexity: Significance, Types, Algorithms

Knowledge Hut

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. If you find this article useful, then you can learn more by referring to the best Programming courses by KnowledgeHut. The Time complexity of an algorithm is the actual time needed to execute the particular codes.

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Boosting Machine Learning Algorithms: An Overview

KDnuggets

The combination of several machine learning algorithms is referred to as ensemble learning. In this article, we will focus on boosting. There are several ensemble learning techniques.

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Naïve Bayes Algorithm: Everything You Need to Know

KDnuggets

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

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Decision Tree Algorithm in Machine Learning: Types, Examples

Knowledge Hut

Before dwelling on this article, let's know more about r squared meaning here. Unsupervised Learning: If the available dataset has predefined features but lacks labels, then the Machine Learning algorithms perform operations on this data to assign labels to it or to reduce the dimensionality of the data.

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How To Calculate Algorithm Efficiency

KDnuggets

In this article, we will discuss how to calculate algorithm efficiency, focusing on two main ways to measure it and providing an overview of the calculation process.

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