Understand Gaussian distribution (normal distribution) PDF: marginal and conditional, single and multivariate
Category: machine learning
Cross Entropy and Negative Log Likelihood are the same thing, but I would like to explain why they are called that way to make them easier to understand.
With so many ML boot camps, books, and online courses, I would like to remind you about some of the free machine learning courses from
Preparing for interview. This is an ML Online Assessment for your ML skills. This is a data science online assessment to help you get a
This article will present some of the most common mistakes in statistics when applied in real world application. Mistakes vs Errors First I would like
These are the top 6 Machine Learning Books for beginners if you are just starting out to learn about machine learning. There are so many
What is free housing data? Let’s say you are interested about investing in the real estate market and want to learn about the trends. You
The Confusion Matrix is extremely important in evaluation of model performance for classification model. What we plan to described in this article are the derived
If you are preparing for data science interviews, you will likely encounter one of these models. Nearest Centroid K-Nearest Neighbors Naive Bayes Decision Tree, Random
Are you always confused about Type 1 and Type 2 errors? The definition: But let’s understand it from an example. Let’s give an example in