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.
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.
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.
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.
In this tutorial, we will discuss how the mean and variance computed in batch normalization, which is very usefult to understand batch normalization.
Aspect Based Sentiment Analysis (ABSA) is often applied on amazon restaurants and laptops reviews. However, if you want to use movie reviews to implement aspect based sentiment analysis, you will find no aspect terms. In this tutorial, we will list some aspect terms in movie review dataset.
We often use tanh activation function in rnn or lstm. However, we can not use relu in these model. Why? In this tutorial, we will explain it to you.
Gaussian Distribution is also called Normal Distribution, which is widely used in machine learning field. In this tutorial, we will introduce it for beginners.
LDA (Latent Dirichlet Allocation) is a kind of unsupervised method to classify documents by topic number. In this tutorial, we will introduce how to build a LDA model using python gensim.