Bayes Classification
Bayes classification is a probabilistic framework for solving classification problems.
Instance Based Classification
Basic Idea of Instance-Based Classification:
- Store the training records
- Use training records to predict the class label of unseen cases
Rule Based Classification
Rule-Based Classifier classify records by using a collection of “if…then…” rules.
\[(Condition) \rightarrow Class~Label\] \[(Blood Type=Warm) \wedge (Lay Eggs=Yes) \rightarrow Birds \\ (Taxable Income < 50K) \vee (Refund=Yes) \rightarrow Evade=No\]Machine Learning on Spark using Java
References
- Download Apache Spark
- MLlib is a built-in library of Spark
- Spark supports Python, Scala, and Java
- Spark Programming Guide
- Sark Configuration
- Spark Java Examples
- MLlib Guide
- Apache Spark Machine Learning Tutorial
- Spark Java API doc
- Sampling Large Datasets using Spark
Logistic Regression Deployment Using Java Spark
Data Preprocessing on Airline Data
Data Source and Variable Definition:
Statistical Computing Statistical Graphics We are going to use flight information for 2000.
Time Series Analysis and Models
- Time series: A time series is a series of data points indexed (or listed or graphed) in time order. A sequence taken at successive equally spaced points in time (A sequence of discrete-time data).
- Time series analysis: Methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.
- Time series forecasting: The use of a model to predict future values based on previously observed values. While regression analysis is often employed in such a way as to test theories that the current values of one or more independent time series affect the current value of another time series, Time series forecasting focuses on comparing values of a single time series or multiple dependent time series at different points in time.
- Time series modeling: It involves working on time (years, days, hours, minutes) based data, to derive hidden insights to make informed decision making.
Problems Solving For Installing Scikit-Learn on Windows
Sklearn is an open source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms. To analyze data with machine learning, sklearn is often used to approach. Although I already have experience installing sklearn library on Windows, this time I encountered problems installing on my new computer.
How To Install GCC and Make on Windows 8 System
GCC and Make are built-in tools on linux machines. However, as an user of Windows, I need to install them manually.
Decision Tree
Decision Tree Based Classification has the following properties:
- Inexpensive to construct
- Extremely fast at classifying unknown records
- Easy to interpret for small-sized trees
- Accuracy is comparable to other classification techniques for many simple data sets
- Unsuitable for Large Datasets because sorting continuous attributes at each node needs entire data to fit in memory.
