machine learning的意思

machine learning中文翻譯：

[計]機器學習（能力）；機器改進（能力）

相似詞語短語

learning machine───學習機；學習記錄機；n.學習記錄機

adversarial machine learning───對抗性機器學習

supervised machine learning───有監督的機器學習

learning───n.學習；學問；v.學習（learn的現在分詞）

deploying a machine learning model───部署機器學習模型

machine───vt.用機器制造；n.機械，機器；機構；機械般工作的人；n.（Machine）（意）馬基內（人名）

lifelong learning───終身學習；終生學習

learning tower───學習塔

e learning───n.網絡（化）學習；數字（化）學習；電子（化）學習

雙語使用場景

Machine learning started making its way into industry in the early 90s.───機器學習在90年代早期開始進入工業領域。

Machine learning is now capable of far, far more complex tasks.───機器學習現在能夠完成極其復雜的任務。

My company, Kaggle, operates on the cutting edge of machine learning.───我的公司 Kaggle 在機器學習領域處于領先地位。

Then we have research center in Grenoble, France where the focus is all on linguistics, machine learning.───我們在法國格勒諾布爾也有研究中心，研究重點是語言學和機器學習。

In machine learning, the data is often represented as a vector, sometimes called a feature vector.───在機器學習中，數據通常被表示為矢量，有時也稱作特征矢量。

The algorithm of decision trees is well known due to simpleness and easy to realize in machine learning.───在各種機器學習算法中，決策樹以其簡單容易實現等特點被認可。

These abilities derive from something called machine learning, which is at the heart of many modern AI applications.───以上這些能力都源自一種叫機器學習的東西，它在許多現代人工智能應用中都處于核心地位。

At least one area of experience or knowledge in search, natural language processing, data mining, machine learning, distributed computing.───有搜索、自然語言處理、數據挖掘、機器學習、分布式計算等其中至少一個領域的經驗或者知識；

Especially, the application of machine learning in Protein Structure Prediction is one of the hottest research areas in Bioinformatics.───特別的，蛋白質結構預測中的機器學習方法是其中研究的一個重要領域。

英語使用場景

Their Android app uses machine learning and image recognition that takes place right on your phone to alert you when you're chatting your way right into an oncoming smash-up.

Support vector regression (SVR), a powerful machine learning technology based on statistical learning theory ( SLT ) was applied to QSAR on the aldose reductase inhibitory activity of 48 flavones.

Research Interests:statistical machine learning with applications to language, speech, image and biological signal processing.

And classification is the basis of the common Machine Learning problem.

As an effective machine learning method, ensemble learning has been widely used in various fields, such as corporation finance distress, exchange forecast and text mining.

To address second problem, we try some machine learning technologies on untagged corpus.

Machine learning optimization assessed value of the parameter words, and the ideas is the third innovative ideas of research projects.

Recently statistical machine learning methods have been substantially attempted for this issue with some achievements.

Her current research interests include biometrics, pattern recognition, machine learning and image processing.