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Introduction

  • Bilal JanEmail author
  • Haleem Farman
  • Murad Khan
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

Recently, deep learning techniques are widely adopted for big data analytics. The concept of deep learning is favorable in the big data analytics due to its efficient use for processing huge and enormous data in real time. This chapter gives a brief introduction of machine learning concepts and its use in the big data. Similarly, various subsections of machine learning are also discussed to support a coherent study of the big data analytics. A thorough study of the big data analytics and the tools required to process the big data is also presented with reference to some existing and well-known work. Further, the chapter is concluded by connecting the deep learning with big data analytics for filling the gap of using machine learning for huge datasets.

List of Acronyms

AI

Artificial intelligence

ANN

Artificial neural networks

HDFS

Hadoop Distributed File System

M2M

Machine to machine

IoT

Internet of things

CPS

Cyber physical systems

ICN

Information-centric networking

WSN

Wireless sensor network

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Copyright information

© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.FATA UniversityFR KohatPakistan
  2. 2.Department of Computer ScienceSarhad University of Science and Information TechnologyPeshawarPakistan
  3. 3.Department of Computer ScienceIslamia College PeshawarKhyber PakhtunkhwaPakistan

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