Dinesh Asanka

Dinesh Asanka
Distribution of documents for positive and negative labels.

Text Classification in Azure Machine Learning using Word Vectors

October 1, 2021 by

This article discusses how to perform Text classification in Azure Machine using a popular word vector technique in Text Mining. This article is part of the Azure Machine learning series during which we have discussed many aspects such as data cleaning and feature selection techniques of Machine Learning. We further discussed how to perform classification in Azure Machine Learning and we will be utilizing some of those experiences here. Further, we have discussed several machine learning tasks in Azure Machine Learning such as Clustering, Regression, Recommender System and Time Series Anomaly Detection. With respect to text mining, we have discussed techniques such as Language Detection, Named Entity Recognition, LDA, Text Recommendations, etc.

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Building Ensemble Classifiers in Azure Machine Learning

September 21, 2021 by

Introduction

This article is the newest addition to the article series of Azure Machine Learning which is Ensemble classifiers in Azure Machine Learning. During this article discussion, we have focused on data cleaning and feature selection techniques of Machine Learning. Further, we have discussed several machine learning tasks in Azure Machine Learning such as Classification, Clustering, Regression, Recommender System and Time Series Anomaly Detection. Further, we discussed AutoML features that are available with Azure Machine Learning Services. In the AutoML techniques, we have identified how to utilize Classification in AutoML. This article is an extension of the classification techniques that we discussed before.

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Selecting a Open dataset

AutoML in Azure Machine Learning for Regression and Time Series

August 16, 2021 by

Introduction

AutoML in Azure Machine Learning is used to build machine learning models on its own as we discussed in the previous article. Over there, we discussed what AutoML is and how to develop classification models in AutoML using Azure Machine Learning. This article will be dedicated to the discussion about building machine learning models using AutoML for Clustering and Time Series tasks.

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Recommender System in Azure Machine Learning.

Designing Recommender Systems in Azure Machine Learning

April 13, 2021 by

In this article, we will be discussing how to design a Recommender System in Azure Machine learning which is the next article in the Azure Machine Learning series. During this lengthy article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis, Clustering and Anomaly detection of Time Series. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation and Hyper Tune parameters in this article series to date.

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Select Tables and Views to create the OLAP Cube.

Multi-language support for SSAS

April 8, 2021 by

Introduction

After discussing many features in SQL Server Analysis Services (SSAS) in order to carry out much richer analytics activities, we are going to discuss another feature in SSAS named Multi-language support for SSAS. In a previous article, we discussed how to create SSAS OLAP Cubes and how to access the OLAP cube using Excel. Further, we discussed how to include hierarchies in SSAS in order to improve the data analysis capabilities. In addition to those features, we discussed how to create perspectives in OLAP Cubes and how to perform management activities in SSAS.

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Filtering the anomalies in the time series.

Time Series Anomaly Detection in Azure Machine Learning

April 1, 2021 by

In this article, we will be discussing how to use Time Series Anomaly Detection in Azure Machine Learning and this article comes next in the Azure Machine Learning series. During this article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis and Clustering. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation and Hyper Tune parameters until today in this article series.

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Implementing Tune Model Hyperparameters in Azure Machine Learning

Tune Model Hyperparameters for Azure Machine Learning models

March 25, 2021 by

Introduction

In this article, we will be discussing how to Tune Model Hyperparameters to choose the best parameters for Azure Machine Learning models. During this article series on Azure Machine Learning, we have discussed multiple machine learning techniques such as Regression analysis, Classification Analysis and Clustering. Further, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation until today in this article series.

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Elastic Jobs in Azure SQL Database

February 18, 2021 by

Introduction

I have dedicated this article to the topic of Elastic Jobs in Azure SQL Database which is in Public Review. This feature allows you to run scheduled tasks in your Azure SQL Databases. This is similar to SQL Server Agent you have in the On-prem SQL Server versions. However, in Elastic Jobs, you can execute the scheduled tasks in multiple Azure SQL Servers and multiple Databases which is an added advantage when considering the features of SQL Server Agent. Further, this execution performs parallelly.

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Default Data Masking Option Azure SQL.

Dynamic Data Masking in SQL Server

February 2, 2021 by

Introduction

In this article, we will be looking at how to perform and access Dynamic Data Masking in SQL Server. Data Masking is the process of hiding data with different rules. One of the main reasons to apply data masking is to protect Personal Identifiable Information (PII) and sensitive data from unauthorized access. Even when unauthorized users access these data, they will not be able to view the actual values. This article will look at the possibilities of applying Dynamic Data Masking in SQL Server and we will look at how Dynamic Data masking can be applied to the Azure SQL Databases as well.

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Usage of Classification with Clustering technique.

Clustering in Azure Machine Learning

January 13, 2021 by

Introduction

In this article, we will be discussing Clustering in Azure Machine Learning which is another machine learning technique such as Regression analysis, Classification analysis. During this article series, we have discussed the basic cleaning techniques, feature selection techniques and Principal component analysis, Comparing Models and Cross-Validation until today. We will introduce further few techniques that were not discussed before in this article as well. Previously, we have discussed how to perform clustering in SQL Server during the SQL Server Data Mining series.

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Comparing models with the inclusion of Cross Validation in AML.

Cross Validation in Azure Machine Learning

January 4, 2021 by

Introduction

After discussing a few algorithms and techniques and comparison of models with Azure Machine Learning, let us discuss a validation technique, which is Cross-Validation in Azure Machine Learning in this article. During this series of articles, we have learned the basic cleaning techniques, feature selection techniques and Principal component analysis etc. After discussing Regression analysis, Classification analysis and comparing models, let us focus now on performing Cross-Validation in Azure Machine Learning in order to evaluate models.

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