R Ultimate 2023 - R for Data Science and Machine Learning

所在平台: Coursera专项课程

课程主页: https://www.coursera.org/specializations/r-ultimate-2023-r-for-data-science-and-machine-learning

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课程简介

课程名称:R Ultimate 2023 - R 数据科学与机器学习 课程概述:本课程由Packt提供,涵盖从基础到深度学习与数据科学的内容。参与者将学习用R进行数据转换和建模的基础知识,为数据科学领域的深入探索打下坚实基础。课程可以免费注册。 课程大纲: 1. R编程基础和基本数据操作:在这门课程中,您将踏入R编程和数据操作的转型旅程,学习基本的编程技能和数据处理方法。 - 课程链接:[基础的R编程与基本数据操作](https://www.coursera.org/learn/packt-foundations-of-r-programming-and-basic-data-manipulation-7yhek) 2. 中级数据操作和机器学习:通过这一综合课程,您将探讨人工智能(AI)及其核心概念,形成扎实的基础,以便在数据科学领域进行进一步学习。 - 课程链接:[中级数据操作与机器学习](https://www.coursera.org/learn/packt-intermediate-data-manipulation-and-machine-learning-7yhek) 3. 高级机器学习和深度学习:本课程聚焦于高级机器学习和深度学习,为您提供在这些变革性技术领域的坚实基础。 - 课程链接:[高级机器学习与深度学习](https://www.coursera.org/learn/packt-advanced-machine-learning-and-deep-learning-whixe) 每个模块的内容都是循序渐进,适合希望提升数据科学与机器学习技能的学习者。

课程大纲

Course Link: https://www.coursera.org/learn/packt-foundations-of-r-programming-and-basic-data-manipulation-7yhek

Name:Foundations of R Programming and Basic Data Manipulation

Description:Offered by Packt. Embark on a transformative journey into R programming and data manipulation with this comprehensive course. It starts with ... Enroll for free.

Course Link: https://www.coursera.org/learn/packt-intermediate-data-manipulation-and-machine-learning-7yhek

Name:Intermediate Data Manipulation and Machine Learning

Description:Offered by Packt. In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid ... Enroll for free.

Course Link: https://www.coursera.org/learn/packt-advanced-machine-learning-and-deep-learning-whixe

Name:Advanced Machine Learning and Deep Learning

Description:Offered by Packt. This advanced machine learning and deep learning course provides a robust foundation in these transformative technologies. ... Enroll for free.

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课程详情

Offered by Packt. Basics to Deep Learning & Data Science using R. Indulge in data transformation/modeling with R basics, data science ... Enroll for free.

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