# 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.

## Element-wise Addition Explained – A Beginner Guide – Machine Learning Tutorial

Element-wise addition is often used in machine learning, in this tutorial, we will introduce it for machine learning beginners.

## Understand Orthogonal Regularization in Deep Learning: A Beginner Introduction – Deep Learning Tutorial

Orthogonal Regularization is a regularization technique which is often used in convolutional neural networks. In this tutorial, we will introduce it for deep learning beginners.

## An Introduction to Scaled Dot-Product Attention in Deep Learning – Deep Learning Tutorial

Scaled Dot-Product Attention is proposed in paper: Attention Is All You Need. In this tutorial, we will introduce the thingking of it for machine learning beginners.

## Understand Vector Dot Product: A Beginner Introduction – Machine Learning Tutorial

Vector dot product is widely used in machine learning. In this tutorial, we will introduce it for machine learning beginners.

## An Explain to Layer Normalization in Neural Networks – Machine Learning Tutorial

Layer Normalization is proposed by Jimmy Ba  et al. in 2016. In this tutorial, we will introduce it for machine learning beginners.

## Understand Element-wise Multiplication Between Two Vector – Machine Learning Tutorial

Element-wise multiplication of two vector is one of especial hadamard products. In this tutorial, we will introduce element-wise multiplication for machine learning beginners.

## An Explanation of Softmax Function with Hyperparameter – Machine Learning Tutorial

We have known cosine similarity softmax function, which is a softmax function with hyperparameter. In this tutorial, we will discuss this topic.

## Understand Cosine Similarity Softmax: A Beginner Guide – Machine Learning Tutorial

Cosine Similarity Softmax is an improvement of traditional softmax function. In this tutorial, we will intorduce it for machine learning beginners.

## Understand Sigmoid Function: Properties and Derivative – Machine Learning Tutorial

Sigmoid function is often used as an activation function in neural network. In this tutorial, we will introduce the properties and derivative of this function.