Analysis Of Big Data

本課程是由 國立陽明交通大學應用數學系提供。

Instructor(s)  Department of Applied Mathematics Prof. Yuh-Jye Lee
Course Credits  0 Credits
Academic Year  106 Academic Year
Level  University students, Master's students
Prior Knowledge  None
Related Resources  Course Video   Course Syllabus   Course subtitles

WeekCourse ContentCourse Video
巨量資料分析課程介紹Watch Online
巨量資料分析簡介 Introduction Of Big Data(1/2)Watch Online
巨量資料分析簡介 Introduction Of Big Data(2/2)Watch Online
Anomaly Detection & Distributed / Hierarchical FrameworkWatch Online
A Brief Introduction to Machine LearningWatch Online
Anomaly Detection & Distributed / Hierarchical FrameworkWatch Online
Discussion : Security and Privacy Conclusion RemarkWatch Online
Introduction to Machine Learning (Artificial Intelligence)Watch Online
Three Fundamental Algorithms(1/2)Watch Online
Three Fundamental Algorithms(2/2)Watch Online
Support Vector MachinesWatch Online
EvaluationWatch Online
The Evolution Of Data ArchitectureWatch Online
The Evolution Of Data Architecture – Scale outWatch Online
The Evolution Of Data Architecture – HadoopWatch Online
The Evolution Of Data Architecture – Use CaseWatch Online
The Evolution Of Data Architecture – FutureWatch Online
Spark CoreWatch Online
Spark SQLWatch Online
Spark StreamingWatch Online
Spark MllibWatch Online
Spark組成原件與應用領域簡介(1/2)Watch Online
Spark組成原件與應用領域簡介(2/2)Watch Online
Python與 Spark 安裝Watch Online
DataBrick Community EditionWatch Online
Python Open() and CSV ModuleWatch Online
Python NumpyWatch Online
Python MatplotlibWatch Online
Python PandasWatch Online
AirBox Application - Data VisualizationWatch Online
AirBox Application - ClusteringWatch Online
 

課程章節

 

章節 章節內容
巨量資料分析─入門篇
講者:莊偉糾先生
The Evolation of Data Archtecture
1. 簡介
2. Scale out
3. Hadoop
4. Use Case
5. Future
巨量資料分析─系統篇
講者:莊偉糾先生
1. Hadoop簡介與環境建置
2. Hadoop實務操作
3. ELK stack簡介與環境建置
4. ELK stack實務操作
5. Spark簡介與環境建置
6. Spark實務操作
巨量資料分析─資料整合與處理篇
講者:莊偉糾先生
1. NoSQL資料庫介紹
2. 資料聚合
3. 資料框架
4. Splunk簡介與安裝
5. Splunk實務操作
巨量資料分析─分析工具篇
講者:楊立偉先生
1. Spark Core
2. Spark SQL
3. Spark Streaming
4. Spark MLlib

巨量資料分析─實務操作篇
講者:楊立偉先生

1. 巨量資料分類問題
2. 巨量資料迴歸問題
3. 巨量資料分群問題
4.
巨量資料維度縮減問題
巨量資料分析─專家訪談篇 

 

課程講義 Course Handout

單元主題(Subject) 字幕
(Chinese Transcript)
巨量資料分析課程介紹CH SUB
-巨量資料分析簡介Introduction Of Big Data(1/2)CH SUB
-巨量資料分析簡介Introduction Of Big Data(2/2)CH SUB
-Anomaly Detection & Distributed / Hierarchical FrameworkCH SUB
-A Brief Introduction to Machine LearningCH SUB
-Anomaly Detection & Distributed / Hierarchical FrameworkCH SUB
-Discussion : Security and Privacy Conclusion RemarkCH SUB
Introduction to Machine Learning (Artificial Intelligence)CH SUB
-Three Fundamental Algorithms(1/2)CH SUB
-Three Fundamental Algorithms(2/2)CH SUB
-Support Vector MachinesCH SUB
-EvaluationCH SUB
The Evolution Of Data ArchitectureCH SUB
-Scale outCH SUB
-HadoopCH SUB
-Use CaseCH SUB
-FutureCH SUB
-Spark CoreCH SUB
-Spark SQLCH SUB
-Spark StreamingCH SUB
-Spark MLlibCH SUB
-Spark CoreCH SUB
-Spark組成原件與應用領域簡介(1/2)CH SUB
-Spark組成原件與應用領域簡介(2/2)CH SUB
-Python 與Spark 安裝CH SUB
-DataBrick Community EditionCH SUB
-Python Open() and CSV ModuleCH SUB
-Python NumpyCH SUB
-Python MatplotlibCH SUB
-Python PandasCH SUB
-AirBox Application - Data VisualizationCH SUB
-AirBox Application - ClusteringCH SUB
-AirBox Application - Forecast by RegressionCH SUB