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The Best Machine Learning Libraries in Julia

Machine learning (ML) is ubiquitous these days. This article introduces useful machine learning libraries in Julia, the developer base for which is growing fast....

ML.NET: Open Source Machine Learning Framework from Microsoft

Machine learning is the new rage. It is indeed an exciting time when new frameworks and new tools are being developed constantly. This is...
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Apache Spark and Developing Applications Using Spark Streaming

Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, machine learning and graph processing. This article...

Get Started with ML.NET, the Open Source and Cross-platform Machine Learning...

ML.NET is an open source cross-platform machine learning (ML) framework for .NET. It works with .NET, C# or F# to integrate custom machine learning...

H2O: The Versatile Tool for Deep Learning

The H2O project developed by H20.ai provides users tools for data analysis, allowing them to fit thousands of potential models when trying to discover...

Running a Firebase Machine Learning Algorithm in Android

The powerful features of the Firebase ML Kit enable developers to take their apps to a new level. Firebase requires minimum expertise in machine...
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Applying Machine Learning to IoT

Machine learning in conjunction with IoT will play an increasingly important role in our lives as the days go by, as both are fields...

Why Python is Ideal for Machine Learning

Many programming languages facilitate machine learning, a few prominent ones being Java, Python, R and C++. Python leads the field in its ease of...

Machine Learning Basics for Noobs

In simple layman terms, machine learning helps in making machines acquire human-like behaviour, while retaining their original capabilities. Here’s a quick introduction to the...

How TensorFlow Makes Machines Learn

This article covers TensorFlow, the machine learning tool developed by the Google Brain Team and open sourced in November 2015. Read on to learn...
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