Abstract
This survey present and discuss distributed computing framework and distributed machine learning with evaluating the results of 10 papers on machine learning and big data. The first half discussed distributed computing framework, Hadoop and Spark. We briefly explained each structure and compared the key features between them. The second half consists of the survey in distributed machine learning. We briefly described the representative techniques as well as popular frameworks and discussed the major problem and challenges behind them used in different papers for scaling of distributed system via machine learning and big data techniques.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
