# Category Archives: Machine Learning

## Mission Machine Learning

Pagerank Algorithm Eigenvalue

Square Matrices

Geometric Interpretation

Eigenvalue:

## Machine Learning Mastery

The Naive Bayes algorithm is simple and effective and should be one of the first methods you try on a classification problem. In this tutorial you are going to learn about the Naive Bayes algorithm including how it works and how to implement it from scratch in Python. Update: Check out the follow-up on tips for … machinelearningmastery.com

## Statistics: For Machine Learning: Random Variables : Discrete and Continuous

Must See:

Probability is the measure of how likely an event is to occur out of the number of possible outcomes. This wikiHow will show you how to calculate different types of probabilities. Define your events and outcomes. Probability is the… www.wikihow.com

## Training Set, Validation Set, Test Set

Training Set is a subset of the dataset used to build predictive models.
Validation Set is a subset of the dataset used to assess the performance of model built in the training phase
– It provides a test platform for fine-tuning model’s parameters and selecting the best performing model
– Not all modeling algorithms need a validation set
Test set or unseen examples is a subset of the dataset to assess the likely future performance of a model.
– If a model fits the training set much better than it fits the test set. Overfitting is probably the cause

Binary Classification(two class classification)

true|false, 1|0, -1|+1, male|female

Multi-class classification problems can be seen as binary classification problems.

Model Evaluation:

https://en.wikipedia.org/wiki/Confusion_matrix

## Machine Learning in Easy Way

Deep Learning, Deep Neural Network:

## WEKA

@relation weather

@attribute outlook {sunny, overcast, rainy}
@attribute temperature numeirc
@attribute humidity numeric
@attribute windy {TRUE,FALSE}
@attribute play {yes,no}

@data
sunny, 90, 77, TRUE, no
overcast, 88, 90, FALSE, no