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R Series: The Syntax

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In this second article in the series on ‘R, Statistics and Machine Learning’, we are going to learn the syntax of the R programming...

Machine Learning: Reducing Dimensions of the Data Set

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Reduction of dimensionality is one of the important processes in machine learning and deep learning. It involves the transformation of input data from high...

MLflow: Meeting the Challenges Posed by ML Based Application Development

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Machine learning has revolutionised the manner in which software is built. However, there are many specific challenges associated with ML based application development. MLflow...

Python: The Super Champ for Machine Learning

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Machine Learning (ML) is a technology used to make any software process improve through experience with the help of algorithms. It is a part...

How Quality Data Sets Help Machines Learn

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Just like the fuel that runs the engine of a vehicle, a data set is a key ingredient for solving a given problem using...

The Role of Machine Learning in Networks and Network Security

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Machine learning (ML) focuses on the development of computer programs that can access data and use it for further learning. In this era of...

How You Can Use Julia for Machine Learning

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Julia is a high level, dynamic and general-purpose programming language. While it can be used for multiple purposes, it is most suited for complex...

A Brief History and the Benefits of Shogun, the ML Library...

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Shogun is an open source machine learning software library built in C++. It offers a wide range of efficient and unified machine learning algorithms....

TensorFlow Lite: An Open Source Deep Learning Framework for Handheld Devices

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This article explains how to use machine learning and deep learning models on handheld devices like mobile phones and Raspberry Pi. It is intended...

The Best Machine Learning Libraries in Golang

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Golang has a number of stable and well supported open source machine learning libraries. As it allows for faster production-ready development and a large...