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Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

This tutorial provides a comprehensive guide to JavaScript Map and Set, explaining their differences, use cases, and how to effectively utilize them. JavaScript offers a rich set of data structures ...

Abstract: MapReduce is one of the most widely used programming models for analyzing large-scale datasets. In recent years, serverless computing, especially Function-as-a-Service (FaaS), has received a ...

Main idea is to use commonly known and well proven constructions introduced in other languages. Constructions have distinguishable appearance and pretend to be a part of the language rather than just ...

This paper introduces MapReduce as a distributed data processing model using open source Hadoop framework for manipulating large volume of data. The huge volume of data in the modern world, ...

Abstract: In the Big Data community, MapReduce has been seen as one of the key enabling approaches for meeting continuously increasing demands on computing resources imposed by massive data sets. The ...

In this video, the Rafael Coss, manager Big Data Enablement for IBM describes how MapReduce works in plain English. MapReduce is a framework for processing embarrassingly parallel problems across huge ...