# Machine Learning Tutorials and Examples for Beginners Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience.

In this page, we write some tutorials and examples on machine learning algorithms and applications. You can learn how to use machine learning in life by following our tutorials.

## A Full Introduction to BasicRNNCell in TensorFlow – TensorFlow Tutorial

In this tutorial, we will introdue the implementation of basic RNN in tensorflow. You can understand it more clearly.

## Understand Batch Normalization: A Beginner Explain – Machine Learning Tutorial

Batch normalization is proposed in paper Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. In this tutorial, we will explain it for machine learning beginners.

## How to Update the Mean and Variance of Population and Test Sample in Batch Normalization – Machine Learning Tutorial

In this tutorial, we will intorduce you two questions: How to compute the mean and variance of population sample by training batch sample? How to normalize the test batch sample by the mean and variance of population sample?

## Text Classification: LSTM+CNN or CNN+LSTM? Which is Better Performance?

Nowadays, LSTM and CNN are combined to implement text classification. As to LSTM+CNN and CNN+LSTM, which model will get better performance? In this tutorial, we will disucss it.

## Understand max-pooling Operation in Neural Networks – Machine Learning Tutorial

max-pooling operation is a common operation in neural networks. Especially, if you are using convolutional networks. It may be used. In this tutorial, we will introduct it for machine learning beginners.

## JavaScript Detect Web Page Zoom Level in Browsers – JavaScript Examples

We can press ctrl and + or ctrl and – to zoom in or zoom out a web page. In this tutorial, we will introduce you how to detect the zoom level using javascript.

## Understand the Relationship Between Pearson Correlation Coefficient and Cosine Similarity – Machine Learning Tutorial

Pearson Correlation Coefficient and Cosine Similarity can measure the correlation between two varialbes, both of them are in [-1, 1]. In this tutorial, we will discuss the relationship between them.

## Compare Pearson Correlation Coefficient with Spearman Correlation Coefficient – Machine Learning Tutorial

As to Pearson Correlation Coefficient and Spearman Correlation Coefficient, both of them can meaure the relationship between two variables. However, there are some differences between them. In this tutorial, we will compare them and discuss these differences.

## A Beginner Guide to Pearson Correlation Coefficient – Machine Learning Tutorial

Pearson correlation coefficient aims to measure the strength of the relationship between two variables. In this tutorial, we will introduce it for machine learning beginners.

## Convert a Normal Distribution Data to Standard Normal Distribution – Machine Learning Tutorial

As to a norm distribution data $$X$$, how to convert its distribution to standard normal distribution? In this tutorial, we will introduce you how to do.