Development Direction of Machine Learning in the Era of Big Data

Chun Yan Xue

doi:10.4028/www.scientific.net/AMR.971-973.1590

Paper Titles

Design and Implementation of Equipment Management Software for EAST Neutral Beam Injector
p.1573

Design and Implementation of Homework Correction Management Information System Based on J2EE
p.1577

Design and Implementation of Serial RapidIO Based on DSP and FPGA
p.1581

Design of Image Feature Information Recognizer Based on Regional Maximum Entropy
p.1586

Development Direction of Machine Learning in the Era of Big Data
p.1590

Development of Digital Image Processing System Based on MATLAB
p.1594

Development of Near-Field Acoustical Holograph and its Review
p.1598

Diagnosing Problems of Distribution-Free Multivariate Control Chart
p.1602

Discussion on Development of Mineral Identification System Based on IDL
p.1607

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Development Direction of Machine Learning in the...

Development Direction of Machine Learning in the Era of Big Data

Abstract:

The core objective of Big Data technology is trying to dig out valuable information from massing huge variety of data structures. In order to achieve these goals, Big Data technology must be combined with machine learning. The uniqueness of Big Data has also brought unprecedented challenges to machine learning, in order to cope with these challenges machine learning should focus on the development of semi-supervised learning method, integrated learning with device integration and transfer learning method.