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所在平台: Udemy |
课程主页: https://www.udemy.com/course/mathematics-for-data-science-and-machine-learning-using-r/
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课程名称：使用R的数学基础与数据科学和机器学习 课程概述：随着数据量的日益增加，数据科学已成为各个领域中最重要的方面之一。从医疗保健到商业，数据在每个行业中都至关重要。然而，数据科学围绕着三个主要方面，即数据、本质概念和用于解释数据的编程语言。本课程将教授使用R编程语言进行数据科学所需的所有基础数学知识。R语言是为更有效地进行统计分析、数据分析和图形模块开发的语言。 为什么学习使用R的数据科学基础数学概念？数据科学已成为一个跨学科的领域，涉及从大量数据中提取知识或进行预测的过程和系统。如今，它已成为众多领域不可或缺的一部分，这导致对数据科学专业人士的高需求。从帮助品牌了解客户，到解决复杂的IT问题，再到在几乎所有其他领域的应用，使得数据科学对任何组织或公司的运作和发展至关重要。根据地区，数据科学家的平均薪资可超过120,000美元。本课程将帮助您以正确的方式学习这些概念。 为什么要参加此在线教程？尽管有许多数据科学的教程，但这是其中一个包含精心挑选的基础数学概念的在线指南，专注于使用R编程语言的数据科学。这门课程包括超过9个小时的视频内容，由经验丰富的统计学家和数据科学家Timothy Young讲解。它以简单易懂的方式解释不同的概念，使学习数据科学基础数学变得轻松有效。 本课程内容包括： - 机器学习和R编程语言概述 - 线性代数：标量、向量和矩阵 - 向量和矩阵操作 - 线性回归 - 微积分：切线、导数等 - 向量微积分：向量空间、梯度下降等 - 还有更多内容！ 这个领域对产业和开发者来说变得越来越重要。如果您是热爱数据科学并对相关基础概念感到困惑的人，那么这个在线教程将是解决您问题的最佳选择。今天就开始学习，成为明天的专家！
With the increase of data by each passing day, Data Science has become one of the most important aspects in most of the fields. From healthcare to business, everywhere data is important. However, it revolves around 3 major aspects i.e. data, foundational concepts and programming languages for interpreting the data. This course teaches you everything about all the foundational mathematics for Data Science using R programming language, a language developed specifically for performing statistics, data analytics and graphical modules in a better way.Why Learn Foundational mathematical Concepts for Data Science Using R?Data Science has become an interdisciplinary field which deals with processes and systems used for extracting knowledge or making predictions from large amounts of data. Today, it has become an integral part of numerous fields resulting in the high demand of professionals of data science. From helping brands to understand their customers, solving complex IT problems, to its usability in almost every other field makes it very important for the functioning and growth of any organizations or companies. Depending upon the location the average salary of data scientist expert can be over $120,000. This course will help you learn the concepts the correct way.Why You Should Take This Online Tutorial?Despite the availability of several tutorials on data science, it is one of the online guides containing hand-picked topics on the concepts for foundational mathematics for Data Science using R programming language. It includes myriads of sections (over 9 hours of video content) lectured by Timothy Young, a veteran statistician and data scientists. It explains different concepts in one of the simplest form making the understanding of Foundational mathematics for Data Science very easy and effective.This Course includes:Overview of Machine Learning and R programming languageLinear Algebra- Scalars, vectors & MetricesVector and Matrix OperationsLinear RegressionCalculus- Tangents, Derivatives and othersVector Calculus- Vector spaces, Gradient Descent and othersSo Much More!This field is constantly become important for both industries as well as developers. If you are one of those who loves data science and are having issues with all the foundational concepts related to it, then it's the right online tutorial to solve your issues. Start today, in order to become the expert of tomorrow!
