Machine learning is now capable of far, far more complex tasks.
机器学习现在能够完成极其复杂的任务。
My company, Kaggle, operates on the cutting edge of machine learning.
我的公司Kaggle 在机器学习领域处于领先地位。
In artificial intelligence, there are several categories of problems, one of which is machine learning.
在人工智能领域，有几类主要的问题，机器学习就是其中之一。
We use Clojure for the data processing and machine learning research.
我们使用Clojure来进行数据处理和机器学习研究。
Support Vector machine is a new method of machine learning.
支持向量机是一种新的机器学习方法。
This capability is known as machine learning.
这种能力被称之为机器学习。
Support vector machine is a new kind of machine learning method.
支持向量机是一种新的机器学习方法。
How do you know what machine learning algorithm to choose for your classification problem?
如何针对某个分类问题决定使用何种机器学习算法？
Image and video processing, computer vision, machine learning, and pattern recognition.
图像和视频处理，计算机视觉，机器学习，和模式识别。
And classification is the basis of the common Machine Learning problem.
分类是许多机器学习问题解决的基础。
Decision tree is a basic learning method in machine learning and data mining.
决策树是机器学习和数据挖掘领域中一种基本的学习方法。
Application of Soft Computing, Knowledge Engineering, and Machine Learning.
应用软计算，知识工程，机器学习。
Each company USES huge pools of data to help train sophisticated machine learning algorithms.
每一家公司都在利用海量的数据，帮助训练复杂的机器学习算法。
It has become one research focus in the field of international Machine Learning.
该技术已成为当前国际机器学习界的研究热点。
And a machine learning algorithm was proposed to handle the assignment of secondary accent.
而次重音的标注完全通过机器学习算法来进行。
This is the most important part of any machine learning algorithm.
这是任何机器学习算法中最重要的部分。
Machine learning is an important branch of artificial intelligence.
机器学习是人工智能的一个重要分支。
By this we mean that you should not ignore relevant machine learning issues.
意思是你不应该忽略相关的机器学习议题。
Like machine learning algorithms themselves, there is no perfect model, just a good enough model.
就像机器学习算法自身一样，没有完美的模型，只有足够好的模型。
Support vector machine (SVM) is a new mechanism of machine learning.
支持向量机(SVM)是一种新的机器学习机制。
Heard any new technology, like BigData or Machine Learning.
持续吸收新知，例如大数据和机器学习。
What is the difference between computational learning theory and machine learning?
计算学习理论和机器学习之间的区别是什么？
Machine learning is an important and difficult problem in artificial intelligence.
机器学习是人工智能的一个重要问题，也是一个难题。
What is the correct way to prepare dataset for machine learning?
准备机器学习数据集的正确方法是什么？
Integration of multiple classifier machine learning system is currently a hot research field.
多分类器集成系统是当前机器学习领域的一个研究热点。
His main interests include image recognition and machine learning.
研究兴趣包括图像识别和机器学习。
His research interests include image and video understanding, computer vision, machine learning, etc.
研究方向包括：图像与视频理解、计算机视觉、机器学习等。
Support Vector Machine for regression (SVR) has shown very good learning performance.
回归型支持向量机方法SVR具有很好的学习性能。
Additional topics on machine and human learning from active research.
补充课题中会涉及人机学习领域中当前活跃的研究内容。
应用推荐