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Cosine Similarity: Benefits for Text Embeddings1/25/2024 6:22:27 AM. This article delves into the significance of cosine similarity in natural language processing (NLP). Exploring its role in comparing text documents, it highlights its importance in NLP tasks and provi
K-Means Clustering in C# with Flower Data Using Google Colab11/3/2023 7:05:44 AM. Clustering is a form of unsupervised machine learning in which observations are grouped into clusters based on similarities in their data values, or features. This kind of machine learning is consider
What is Text Analysis in Artificial Intelligence11/2/2023 4:19:28 AM. what is text analysis in AI, what are the techniques available in the text analaysis, how it would be beneficial to the business, the number of use cases available for the text analaysis and finally t
Guid vs. Sequential Integers: A Great Debate in Database Design7/27/2023 6:28:17 AM. Explore the debate between Guids and sequential integers as primary keys in relational databases, weighing the pros and cons for optimal design choices.
An Overview of Supervised, Unsupervised, and Reinforcement Learning in Machine Learning4/16/2023 2:20:02 PM. The article "Types of Learning in Machine Learning" provides an overview of the three main types of learning in machine learning: supervised learning, unsupervised learning, and reinforcemen
Clustering in Orleans6/2/2021 2:08:39 PM. Using Microsoft Orleans you can build applications that scale from a single on-premises server to globally distributed and highly-available in the cloud.In this episode, Reuben Bond joins Cecil to e
Understanding K-Means Clustering using Python the easy way4/9/2020 12:23:13 AM. K-means clustering is a simple unsupervised learning algorithm that is used to solve clustering problems. It follows a simple procedure of classifying a given data set into a number of clusters, defin
Getting Started With Machine Learning .NET For Clustering Model1/22/2020 3:57:31 PM. In Build 2018 Microsoft interduce the preview of ML.NET (Machine Learning .NET) which is a cross platform, open source machine learning framework. Yes, now its easy to develop our own Machine Learning
Clustering Web Servers Using ELB11/11/2019 7:49:09 AM. In this article, we are going to learn different concepts like AMI, Clustering of web servers, target groups, etc.
KMeans and MeanShift Clustering in Python11/5/2019 7:39:37 AM. KMeans and MeanShift Clustering in Python using sklearn and scipy
A Quick Overview Of Machine Learning Tasks🚀9/28/2019 6:29:59 AM. In this article, we will learn basics of machine learning techniques, their description, visualization, and an example for each one.
Introduction To Machine Learning And ML.NET9/26/2019 8:57:08 AM. In this article, you will learn about Machine Learning and ML.NET.
Machine Learning Concepts For Dummies - Part 2 - Unsupervised Learning And Reinforcement Learning10/30/2018 2:52:23 AM. This video introduces the basic concepts of Unsupervised Learning, Clustering Problem, and Reinforcement Learning.
Azure Redis Cache - Improve Performance Using Clustering12/11/2016 11:45:57 AM. In this article, we will learn how to improve the performance of Redis Cache endpoint by configuring the clustering for Azure Redis Cache.
Some Software Testing Principles4/10/2015 6:00:54 PM. In this article we will learn seven software testing principles.
High-Availability Options For Database Server in SharePoint 20136/22/2014 11:43:07 PM. This article describes how to make your server farm resilient to hardware failures, in other words, how users can continue to access SharePoint if a single component in the farm fails.
Session Management in Web Garden using Custom Components12/24/2005 4:17:29 AM. This article provides an insight on creating a custom Session Manager component using C#.

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