Examples of using 机器学习和统计 in Chinese and their translations into English
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机器学习和统计是密切相关的领域。
比较机器学习和统计模型确实有些困难。
Comparing machine learning and statistical models is a bit more difficult.机器学习和统计学都是数据科学的一部分。
Machine learning and statistics are part of data science.机器学习和统计.
Machine Learning and Statistical.机器学习和统计学是两个紧密相关的研究领域。
Machine learning and statistics are two tightly related fields of study.Combinations with other parts of speech
机器学习和统计学.
Machine Learning and Statistics.比较机器学习和统计模型有点困难。
Comparing machine learning and statistical models is a bit more difficult.机器学习和统计学都是数据科学的一部分。
Machine learning and statistics is a part of data science.机器学习和统计方面的专业知识，重点在于决策优化.
Expertise in machine learning and statistics, with an emphasis on decision optimization.机器学习和统计的主要区别在于它们的目的。
The major difference between machine learning and statistics is their purpose.具备机器学习和统计方面的专业知识，重点在于决策优化.
Expertise in machine learning and statistics with an emphasis on decision optimization.机器学习和统计是密切相关的领域。
Machine learning Machine learning and statistics are closely related fields.机器学习和统计之间的一个主要区别确实是它们的目的。
A major difference between machine learning and statistics is indeed their purpose.机器学习和统计之间的主要区别确实是它们的目的。
A major difference between machine learning and statistics is indeed their purpose.机器学习和统计学拥有相同的目标--它们都专注于数据建模--但它们的方法受其文化差异所影响。
Machine learning and statistics share the same goals- they both focus on data modeling- but their methods are affected by their cultural differences….CharlesRive将使用机器学习和统计模型，基于新型恶意软件来预测攻击，并提前进行防御。
Charles River will use machine learning and statistical models to predict attacks based on new malware as well as create defenses ahead of time.大卫·布雷：我认为我们处在一个由一些想法激发起来的机器学习和统计学的变革时代的中期。
David Blei: I think we are in the middle of a transformative time for machine learning and statistics, 该Datumbox机器学习框架是用Java编写的开源框架，允许快速发展的机器学习和统计应用。
The Datumbox 这个数据集很有名，因为它被用作机器学习和统计中的“helloworld”。
This dataset is famous because itis used as the“hello world” dataset in machine learning and statistics by pretty much everyone.计算机科学、机器学习和统计领域的根本性进步将促进灵活、迅速响应和预测性的数据分析系统的发展。
Fundamental advances in computer science, machine learning, and statistics will enable future data-analytics systems that are flexible, responsive, 总结来说，我们可以认为机器学习和统计建模是预测建模领域的两个不同分支。
It may seem like machine learning and statistical modeling are two different branches of predictive modeling.Datumbox是一个用Java编写的开源机器学习框架，允许快速开发机器学习和统计应用。
Datumbox is an open-source 在各种各样的数据科学论坛上，有这样一个问题经常会被问到--机器学习和统计模型的差别是什么？?
One of the most common question, which gets asked at various data science forums is:What is the difference between Machine Learning and Statistical modeling?在各种各样的数据科学论坛上这样一个问题经常被问到--机器学习和统计模型的差别是什么？?
One of the most common question, which gets asked at various data science forums is:What is the difference between Machine Learning and Statistical modeling?这个数据集是非常有名的，因为这是机器学习和统计学里的”helloworld”类数据集，这对于每个人来说都非常实用。
This dataset is famous because itis used as the“hello world” dataset in machine learning and statistics by pretty much everyone.YanirSeroussi的博客-YanirSeoussi是一位经验丰富的数据科学家和软件工程师，在编程、计算机科学、机器学习和统计方面拥有丰富的背景。
Yanir Seroussi's Blog- Yanir Seoussi is an experienced data scientist 这并没有减少机器学习和统计的重要性。
This does not lessen the importance of machine learning or statistics.他专攻的对象是机器学习和统计(尤其是R)。
He specializes in machine learning and statistics(especially R).数据科学让我们能通过机器学习和统计算法解答复杂多样的问题。
Data science has enabled us to solve complex anddiverse problems by using machine learning 虽然机器学习和统计模型看起来为预测模型的不同分支，但它们近乎相同。
However, it may seem that machine learning and statistical modeling are two different branches of predictive modeling, they are almost the same.
