Dinesh Asanka
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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Aveek Das
Console output from the above snippet

Working with JSON data in Python

March 30, 2021 by

In this article, I am going to write about the various ways we can work with JSON data in Python. JSON stands for Java Script Object Notation and has become one of the most important data formats to store and transfer data across various systems. This is due to its easy-to-understand structure and also because it is very lightweight. You can easily write simple and nested data structures using JSON and it can be read by programs as well. In my opinion, JSON is much more human-readable as compared to XML, although both are used to store and transfer data. In modern web applications, by default JSON is being used to transfer information.

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Dinesh Asanka
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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Esat Erkec
Comparison of the Merge Join vs Hash Match Join

Query Optimization Myths

March 23, 2021 by

In this article, we will talk about two query optimization myths and these myths can be changed according to the characteristics of the queries. Every query can exhibit different behaviors according to data distribution, SQL Server version, database settings, and other tons of parameters therefore the fixed ideas may not help to overcome the query performance issues. In the next part of the article, we will focus on the following most known discourse:

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Aveek Das
Generating plots in R

Setting up a Machine Learning environment using R and RStudio

March 23, 2021 by

In this article, I am going to introduce a few concepts of how to set up and get started with R and RStudio to perform machine learning workloads. It has always been the heat of the discussion on whether to choose Python or R for performing Machine Learning analysis. In my opinion, both the languages excel in their own space and there is no point-to-point comparison between the two directly. Mathematicians and statisticians like to work within the R environment, while programmers choose to work with Python.

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Nisarg Upadhyay
CASE expression in ORDER BY exmple

Learn MySQL: Control Flow functions

March 19, 2021 by

In this article, we are going to learn about the most common control flow functions. The control flow function evaluates the condition specified in it. The output generated by them can be a true, false, static value or column expression. We can use the control flow functions in the SELECT, WHERE, ORDER BY, and GROUP BY clause. Following are the most common functions:

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Aveek Das
Amazon Athena uses

An introduction to AWS Athena

March 19, 2021 by

In this article, I am going to introduce AWS Athena, a service offered by Amazon which allows users to query data from S3 using standard SQL syntax. AWS is considered to be a leader in the cloud computing world. Almost more than a hundred services are being offered by Amazon which offers competitive performance and cost-effective solutions to run workloads as compared to on-premise architectures. The services offered by Amazon range widely from compute, storage, databases, analytics, IoT, security, and a lot more. One of the popular areas of these services in the Analytics domain. This allows the customer to build architectures that answer key questions to their business decisions.

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Frank Solomon
A CTE WHERE clause filter, that keeps the indicated rows and removes everything else, would really help.

MySQL Recursive Queries

March 18, 2021 by

Introduction

As we lever MySQL to build database solutions, we might need to build a MySQL recursive query. In an earlier Database Journal article, I showed how to solve an integer parsing problem with SQL Server recursion. This article will show how to solve that same problem with MySQL recursion, highlighting the strong and weak points of this MySQL feature.

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