machine learning

基本解釋

That's a very active area of machine-learning research, but it's not a solved problem to the extent that supervised learning is.
這是機(jī)器學(xué)習(xí)研究的一個(gè)非?；钴S的領(lǐng)域，但目前研究的進(jìn)展與監(jiān)督式學(xué)習(xí)還是不能比擬的。
Big-data-based analytics today include rule-based systems, statistical analysis and machine-learning techniques such as neural networks.
儅今的基於大數(shù)據(jù)的分析包括基於槼則的系統(tǒng)、統(tǒng)計(jì)分析和機(jī)器學(xué)習(xí)技術(shù)如神經(jīng)網(wǎng)絡(luò)等。
In the natural language processing field, researchers have experienced a growth of interest in semantic role labeling by applying statistical and machine-learning methods.
基於統(tǒng)計(jì)機(jī)器學(xué)習(xí)的語(yǔ)義角色標(biāo)注在自然語(yǔ)言処理領(lǐng)域越來(lái)越受到重眡，豐富多樣的特征直接決定語(yǔ)義角色標(biāo)注系統(tǒng)的性能。

The functions range from simple transformations to those for more complex techniques like regular expressions and machine-learning algorithms.
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The company uses machine-learning algorithms to suggest apps with the highest potential relevance to users up to an exact percentage.
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In most cases, the systems involve customized algorithms based on machine-learning methods.
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machine self -learning 機(jī)器學(xué)習(xí)
ML -Machine Learning- 機(jī)器學(xué)習(xí)組
Softwareengineer -Machine Learning 算法工程師
Engineering Everywhere - Machine Learning 斯坦福大學(xué)開(kāi)放課程機(jī)器學(xué)習(xí);機(jī)器學(xué)習(xí)
Stanford University - Machine Learning 機(jī)器學(xué)習(xí)

the process of computers changing the way they carry out tasks by learning from new data, without a human being needing to give instructions in the form of a program

a branch of artificial intelligence in which a computer generates rules underlying or based on raw data that has been fed into it

機(jī)器學(xué)習(xí)
Machine learning is used in data mining technology.
在數(shù)據(jù)挖掘技術(shù)中,涉及到機(jī)器學(xué)習(xí)問(wèn)題。
機(jī)器自學(xué)習(xí)
機(jī)械學(xué)習(xí)