ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
Big data analytics is a booming research area in computer science and many other industries all over the world. It has gained great success in vast and varied application sectors. This includes social media, economy, finance, healthcare, agriculture, etc. Several intelligent machine learning techniques were designed and used to provide big data predictive analytics solutions. A literature survey of different machine learning techniques is provided in this paper. Also a study on commonly used machine learning algorithms for big data analytics is done and presented in this paper.
CONCLUSION
With the advents in big data technology, it became difficult to handle the complex big data using the traditional learning algorithms. Therefore several advanced, efficient and intelligent learning algorithms are required to handle the huge chunks of heterogeneous datasets. The results obtained through these analytics techniques provide more effective solutions to many real world problems in various domains such as healthcare, agriculture, social media, banking etc. Various research papers are surveyed to gather information about advanced learning techniques. This paper gives an overall idea about the advanced machine learning algorithms and techniques used to provide solutions to the big data analytics problems.