Data Mining

---

 

What is Data Mining

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. (Definition by Wikipedia)

 

What is the difference between Machine Learning and Data Mining

Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases). Data mining uses many machine learning methods, but with different goals; on the other hand, machine learning also employs data mining methods as "unsupervised learning" or as a preprocessing step to improve learner accuracy.

 

Big Picture

---

---

Ethical problems in data science

Introduction

Before we start

Performance Evaluation (Data Mining)

Hierarchical Clustering

Kmeans Clustering

Mean Shift Clustering

 

 

---