Comprehensive Study of Data Science

Chennu Ganesh Tiru Venkata Manikanta Sai, Kasaraneni Sri Harsha, Chennu Aryan Karthikeya
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Abstract

Today's generation is totally dependent on technology that uses data as its fuel. The present study is all about innovations and developments in data science and gives ideas about how to efficiently use the data provided. This study will help to understand the core concepts of data science. The concept of artificial intelligence was introduced by Alan Turing in which the main principle was to create an artificial system which can run independently of human given programs and can function with the help of analyzing data to understand the requirements of the users. Data science comprises business understanding, analyzing data, ethical concerns, understanding programming languages, various fields and sources of data, skills, etc. The usage of data science has evolved over the years. In this review article, we have covered a part of data science, i.e., machine learning. Machine learning uses data science for its work. Machines learn through their experience, which helps them to do any work more efficiently. This article includes a comparative study image between human understanding and machine understanding, advantages, applications, and real-time examples of machine learning. Data science is an important game changer in the life of human beings. Since the advent of data science, we have found its benefits and how it leads to a better understanding of people, and how it cherishes individual needs. It has improved business strategies, services provided by them, forecasting, the ability to attend sustainable developments, etc. This study also focuses on a better understanding of data science which will help us to create a better world.
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数据科学综合研究
当今时代完全依赖于以数据为燃料的技术。本研究介绍了数据科学的创新和发展,并就如何有效利用所提供的数据提出了想法。本研究将有助于理解数据科学的核心概念。人工智能的概念是由艾伦-图灵提出的,其主要原则是创建一个人工系统,该系统可独立于人类给定的程序运行,并可在分析数据的帮助下发挥作用,以了解用户的需求。数据科学包括业务理解、数据分析、伦理问题、编程语言理解、各种领域和数据来源、技能等。多年来,数据科学的应用不断发展。在这篇综述文章中,我们介绍了数据科学的一部分,即机器学习。机器学习利用数据科学开展工作。机器通过经验学习,这有助于它们更高效地完成任何工作。本文包括人类理解和机器理解之间的比较研究图像、机器学习的优势、应用和实时示例。数据科学改变了人类的生活。自数据科学问世以来,我们发现了它的好处,以及它如何让人们更好地了解自己,如何珍视个人需求。它改善了企业战略、企业提供的服务、预测、关注可持续发展的能力等。这项研究也侧重于更好地理解数据科学,这将有助于我们创造一个更美好的世界。
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