📜  数据科学与人工智能的区别

📅  最后修改于: 2021-09-13 01:59:13             🧑  作者: Mango

数据科学: 1974 年,Peter Naur 提出数据科学作为计算机科学的替代名称。数据科学是人工智能的一个子集。简单地说,数据科学是一组要分析的数据,我们代表它做出决定。它使用来自许多结构化和非结构化数据的科学方法、流程、算法和见解。从事数据科学工作的人被称为数据科学家。

人工智能:在新罕布什尔州汉诺威达特茅斯学院的一次会议上,人工智能一词被创造出来(1956 年)。这是一种提供给机器的类人智能,机器的行为像人一样思考。他们解决问题的速度比人类快。语音识别、翻译工具等是人工智能的构建领域。人工智能就是机器学习深度学习等。我们可以在一定程度上模拟认知和人类理解。

Data science Artificial Intelligence
Data Science is a detailed process that mainly involves pre- processing analysis, visualization and prediction. AI(short) is the implementation of a predective model to forecast future events and trends.
It has a high degree of scientific processing. It has a lot of high level of complex processing.
By using the concept of data science, we can build complex models about statistics and facts about data. By using this we emulate cognition human understanding to a certain level.
It uses the technique of data analysis and data analytics. It uses a lot of machine learning techniques.
Its knowledge was established to find hidden patterns and trends in the data. Its knowledge is all about imparting some autonomy to a data model.
R, Python, etc are the tools used in data science. Tensorflow, scikit-learn, Kaffee, etc are the tools used in AI.
Its applications are advertising, marketing, Healthcare, etc. Its application are robotics, automation, etc.