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.

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.

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.

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.

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.