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Big Data Analysis & Technological Resource

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    • Category : Engineering > Data Analysis & Statistics
    • Keyword : Big data,AI,Machine learning,R Language,Data processing,Digital immigrant,generation gap,open resources,copyright,creative commons
    • Taught by : Daeseon Choi, Vorasuang Duangchinda
    • Created By : Sripatum University
    • Offered By : ASEAN Cyber University
    • Date Added : 2021.07.22

    This course is for beginner who want to study big data processing. You can learn what big data and AI are and how to process big data with R language. This course is operated by English. ▪ The course instructs basic concept of big data and AI ▪ The course instructs basic R language. ▪ The course instructs basic data processing with R. ▪ The course instructs simple machine learning with R.

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Number of lessons: 8 facebook twitter line whatsapp kakaotalk

차시별 강의
No Contents Type & Play Subject Description URL
1. Type video Subject Description
  • You can learn the concept and technology of big data through this lecture. ▪ Concept of Big data ▪ Big data technology ▪ Example Big data processing
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2. Type video Subject Description
  • You can learn the concept of AI, its application area, and the underlying technology ▪ Concept of AI ▪ Machine learning ▪ Deep learning
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3. Type video Subject Description
  • You can learn basic of R lanauge. ▪ Installing and begin R ▪ R functions ▪ Reading and manipulating data
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4. Type video Subject Description
  • You can learn how to process and analyze data with R ▪ Data manipulation ▪ Descriptive statistics ▪ Variable type
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5. Type video Subject Description
  • You can learn data analysis in depth ▪ Analysis of one variable ▪ Relation between two variables
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6. Type video Subject Description
  • You can learn how to do machine learning with R ▪ Automatic classifier ▪ Feature engineering ▪ Train & test
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7. Type video Subject Description
  • 1. Introduction to the seven generations 2. Examples on how each generations live with technologies
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8. Type video Subject Description
  • 1. Introduction to Copyright 2. Introduction to Creative Commons 3. Introduction to Dr. Vorasuang’s guide to the world of Open Source
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