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Machine Learning 2018


30-31 August, 2018

Dubai

https://machinelearning.conferenceseries.com/











With the support of Organizing Committee Members, 5th World Machine Learning and Deep Learning Congress (Machine Learning 2018) is scheduled to be held in Dubai, UAE during August 30-31, 2018. Machine Learning Conference will set a platform for most innovative minds, practitioners, experts, thinkers, eminent Researchers, Scientists, Professors, Developers, Analysts and Newbies globally to discuss an approach to Machine Learning & Deep Learning researchers. 

 

This conference aimed to expand its coverage in the areas of Machine Learning and Deep Learning where expert talks, young researcher’s presentations will be placed in every session of the meeting will inspire you and keep up your enthusiasm. The two-days event on Machine Learning & Deep Learning will host 60+ Scientific and technical sessions and sub-sessions on cutting-edge research and latest research innovations in the field of Machine Learning & Deep Learning across the globe. Machine Learning 2018 will comprises of 19 major sessions designed to offer comprehensive sessions that address current topics in the various field of Machine Learning & Deep Learning. 


 
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Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 36 on sale from February 2018:


Crowd Sourcing Digital Evidence The Risk v The Reward

All digital devices used today can be considered as a potential source for digital evidence. Andrew Ryan investigates the current state in the art of crowd sourced digital evidence. Read More »

Recovery of Forensic Artifacts from Deleted Jump-List in Windows 10

Jump-Lists are widely discussed in forensics community since the release of Windows 7 and are having more capabilities to reveal forensics artifacts in Windows 10. Read More »

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Voice Biometrics

This article looks at the research and development in the field of Voice Biometrics and Speech Analytics, specifically Speaker Identification, Language and Gender Identification, Speech-to-Text Transcription, Keyword Spotting, and others. Read More »

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