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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-data-science-basics/
课程评论：没有评论
课程名称：学习数据科学基础 课程概述：数据科学是多种工具、算法和机器学习原理的结合，通过这些方法可以从原始数据中发现隐藏的模式。本课程旨在介绍数据科学的基本方法论，为企业政策和框架提供积极的引导。课程的目标是定义数据科学家的政策及其重要性。 数据科学通常被理解为从未处理的数据中提取以前未发现的模式，运用机器学习的基本原理以及多种工具和算法。数据科学的最终目标是从数据中提取可实际应用的洞见。机器学习被视为自动化学习方法，它包括一系列数学和统计技术，旨在实现上述目标。 本模块的教育活动将会积极展开，作为对企业政策和框架的初步认知课程。课程不仅会阐述数据科学的基本原则，还会强调数据科学家在这一领域的独特贡献。通过学习该软件的执行，学生能够顺利完成相关任务。在此讨论的框架内，特别强调数据科学家的重要性，将是课程的重点。
As we know, Data Science is a blend of various tools, algorithms, and machine-learning principles to discover hidden patterns in the raw data. The module activates learning of this methodology as an introductory recognition course towards a positive framework of business policies and framework. The objective is to define the policies and the importance of people working as Data Scientists. Data science, as it is usually understood, is the process of extracting previously undiscovered patterns from unprocessed data utilizing a mix of the foundations of machine learning and a broad array of tools and algorithms. The ultimate objective of data science is to extract insights from data that can be put into practice. Automating the learning method is referred to as "machine learning," and it refers to a set of mathematical and statistical techniques applied to accomplish this aim. In other words, machine learning is automating the learning procedure. The education of this approach is made active as a part of a component of the module, which functions as an introductory recognition course in the direction of a constructive framework of corporate policies and framework. Not only will the standards be laid forth, but so will the one-of-a-kind contribution that data scientists provide to the field as well. The execution of this software will allow for the successful completion of this task. It is pretty important, within the framework of this discussion, to lay a focus on the particular importance of data scientists.
