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Diffgram Launches Open Source Training Data Platform for Machine Learning

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The Diffgram Training Data Platform is now Open Source - after three years of closed source work. Diffgram is similar to closed source offerings...

What Does Big Data Mean to You

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Big Data is a combination of structured, semi-structured, and unstructured data collected by organisations that can be used for machine learning, predictive modelling, fraud...

Flux: The Elegant Machine Learning Library Written in Julia

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The machine learning landscape is filled with a large number of libraries, each of which comes with its own pros and cons. Choosing the...

Open Source MLOps Tool Adds Experiment Versioning

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Iterative, the MLOps company today announced the release of Data Versioning Control (DVC), introducing industry-first, experiment versioning. Experiment versioning gives developers an easy way...

Data Structures in R

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In this third article in the ‘R, Statistics and Machine Learning’ series, we shall explore the various data structures such as vectors, arrays, matrices,...

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...