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In this section, we mainly discuss the close connections of machine learning with SP techniques for big data processing.
The other is to analyze the connections of machine learning with modern signal processing (SP) techniques for big data processing from different perspectives.
Following that, we investigate the close connections of machine learning with signal processing techniques for big data processing.
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Fig. 4 Connection of machine learning with SP techniques for big data from different perspectives.
In addition, the connection of machine learning with modern signal processing technologies was analyzed through studying several latest representative research papers.
To sum up, it can be seen from the above presented articles in Section 1.4.1 and Section 1.4.2 that the connection of machine learning with modern SP techniques is very strong.
Fig. 4 Connection of machine learning with SP techniques for big data from different perspectives Statistical learning for big data analysis: There is no doubt this is an era of data deluge where learning from these large volumes of data by central processors and storage units seems infeasible.
Neil Lawrence is a professor of machine learning.
Applications of machine learning to social science.
Ralf Herbrich, the director of machine learning science and core machine learning at Amazon, said: "We're in a golden age of machine learning and AI.
"This is the power of machine learning.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com