Download Introduction to Pattern Recognition and Machine Learning free in PDF. In this PDF notes you’ll learn pattern recognition and machine learning. Pattern recognition is the automated recognition of patterns in data. it is the process to recognizing patterns using machine learning algorithms. Machine learning is the branch of artificial intelligence that use to improve automatically through experience and the use of data. In this PDF notes you’ll learn the concept of pattern recognition by using of machine learning algorithms.
In this notes you’ll learn pattern recognition in detail. This notes is very helpful and useful for beginners, developers, students and those who intersted to learn about pattern recognition. In this notes there is given real time examples for more understanding and practicing. You can clear you’re concept by examples easily. You can download this PDF notes free.
You Cover These Topics:
Introduction
Classifiers: An Introduction
An Introduction to Clustering
Machine Learning
Types of Data
Features and Patterns
Domain of a Variable
Types of Features
Proximity Measures
Feature Extraction and Features Selection
Types of features Selection
Mutual Information of Feature Selection
Chi-Square Statistic
Laplacian Score
Ranking for Feature Selection
Bayesian Learning
Document Classification
Naive Bayes Classifier
Density Estimation
Posterior Probability
Classification
Classification Without Learning
Classification in High Dimensional Space
Random Forests
Linear Support Vector Machine
Logistic Regression
Classification Using Soft Computing Techniques
Introduction
Fuzzing Classifiers
Rough Classification
Neural Networks for Classification
Multi label Classification
Data Clustering
Number of Partitions
Clustering Algorithms
Why Clustering?
Clustering Labeled Data
Combination of Clustering
Soft Clustering
Soft Clustering Paradigms
Fuzzy Clustering
Rough Clustering
Statistical Clustering
Topic Model
Application- Social and Information Networks
Introduction
Pattern in Graphs
Link Prediction
Information Diffusion
Identifying Specific Nodes in a Social Network
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