[프로그래머스] Level 1 - 하샤드 수
in Algorithm on Programmers, Problems
[프로그래머스] Level 1 - x만큼 간격이 있는 n개의 숫자
in Algorithm on Programmers, Problems
문제
[데이터 사이언스] Social Network Analysis
in CS Review on DataScience
Chapter 9. Social Network Analysis
- Social Network Introduction
- Social Network Generation
- Mining on Social Network
[데이터 사이언스] Data Preprocessing
in CS Review on DataScience
Chapter 3. Data Preprocessing
- Data Preprocessing: An Overview
- Data Quality
- Major Tasks in Data Preprocessing
- Data Cleaning
- Data Integration
- Data Reduction
- Data Transformation and Data Discretization
[데이터 사이언스] Cluster Analysis
in CS Review on DataScience
Chapter 7. Cluster Analysis
- What is Cluster Analysis?
- Types of Data in Cluster Analysis
- A categorization of Major Clustering
- Partitioning Methods
- Hierarchical Methods
- Density-Based Methods
- Outlier Analysis
[데이터 사이언스] Getting to know your data
in CS Review on DataScience
Chapter 2. Getting to know your data
- Data Objects and Attribute Types
- Basic Statistical Descriptions of Data
- Data visualization
- Measuring Data Similarity and Dissimilarity
[데이터 사이언스] Recommendation Systems: Concepts, Techniques, and Applications
in CS Review on DataScience
이번 강의는 Recommendation system의 관한 내용으로 김상욱 교수님 연구실 성과를 비롯해 여러 논문들을 짧게 살펴볼 예정이다.
[데이터 사이언스] Classification & Prediction (3)
in CS Review on DataScience
Chapter 6. Classification and Prediction
- Lazy learners(or learning from your neighbors)
- Prediction
- Accuracy and error measures
- Ensemble methods
- Model selection
- Summary
