A Deep study of Data science related problems, application and machine learning algorithms utilized in Data science

J. Ranjani, V.K.G. Kalaichelvi, Swathi Anbalagan, N. S, Murari Reddy Sudarsan
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引用次数: 0

Abstract

Data Science study utilized for gathering information as data, taking out data from other systems, accumulating information, signifying and safeguarding data collected are used by organizations for marketing purposes and in high-tech implementations. Name of data science denotes a combination of databases and software engineering as well as a number of types of qualitative, quantitative entities and non-mathematical entities are furthermore necessary. Data science and its importance, components in data science included, life cycle of data science, Application of data science, various algorithms in machine learning are used with data science and implementation of machine learning algorithm in real life cases are also described. Finally, wound up with how to decode an obstacle in data Science using machine learning algorithms.
深入研究数据科学相关问题,应用和数据科学中使用的机器学习算法
数据科学研究用于收集信息作为数据,从其他系统中提取数据,积累信息,表示和保护收集到的数据被组织用于营销目的和高科技实施。数据科学的名称表示数据库和软件工程的结合,以及许多类型的定性,定量实体和非数学实体更是必要的。数据科学及其重要性,包括数据科学的组成部分,数据科学的生命周期,数据科学的应用,机器学习中的各种算法与数据科学一起使用,机器学习算法在现实生活中的实现也被描述。最后,介绍如何使用机器学习算法来破解数据科学中的障碍。
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