# 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.

## Dropout vs Batch Normalization – Which is Better for Multilayered Neural Network

Dropout and batch normalization are two well-recognized approaches to tackle overfitting in multilayered neural networks, which one is better? In this tutorial, we will discuss this topic.

## An Introduction to GE2E Loss for Beginners – Deep Learning Tutorial

GE2E loss is proposed in paper << GENERALIZED END-TO-END LOSS FOR SPEAKER VERIFICATION>>. In this tutorial, we will introduce it for some beginners.

## Compute KL (Kullback–Leibler) Divergence Between Two Multivariate Gaussian Distributions – Machine Learning Tutorial

In this tutorial, we will introduce how to compute KL (Kullback–Leibler) divergence between two multivariate gaussian distributions.

## An Introduction to Accuracy, Precision, Recall & F1-Score in Machine Learning – Machine Learning Tutorial

Accuracy, Precision, Recall & F1-Score are widely used in machine learning. In this tutorial, we will discuss how to compute them.

## An Explain to GELU Activation Function – Deep Learning Tutorial

GELU (GAUSSIAN ERROR LINEAR UNITS) activation function is often used in Bert, GPT-3. In this tutorial, we will introduce it for deep learning beginners.

## Beginner Guide to Einsum for Deep Learning – Deep Learning Tutorial

Einsum is a powerful operation to matrix in deep learning. In this tutorial, we will introduce how to use it for beginners.

## A Full List of Part-of-Speech of Word in Chinese Jieba Tool – NLP Tutorial

In chinese jieba tool, we have not found a list about chinese part-of-speech used in it. In this tutorial, we will introduce you how to get this list.

## Display WAV FBank Feature with Heatmap – Machine Learning

If you have got the wav fbank feature, you can see it using a heatmap. In this tutorial, we will introduce you how to do.

## Python Extract Audio Fbank Feature for Training – Python Tutorial

If you plan to train deep learning model using wav files, you may have to extract audio features from these files. In this tutorial, we will introduce you how to extract.

## Understand Train Set, Gallery Set and Probe Set in Face Recognition – Deep Learning Tutorial

When you are building face recognition model using deep learning, you have to build a train set, gallery set and probe set to evaluate the performance of your model. In this tutorial, we will introduce these three sets.