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 multiplication of two vector is one of especial hadamard products. In this tutorial, we will introduce element-wise multiplication for machine learning beginners.
We have known cosine similarity softmax function, which is a softmax function with hyperparameter. In this tutorial, we will discuss this topic.
Cosine Similarity Softmax is an improvement of traditional softmax function. In this tutorial, we will intorduce it 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.
Spearman’s correlation coefficient is a statistical measure of the strength of a monotonic relationship between paired data, which is often used in deep learning filed. In this tutorial, we will introduce some basic knowlege on it.
