Support vector machine
This post discusses about support vector machine, one of the most beautiful mathematical models in machine learning.
Point estimation
In this post, we will talk about some estimation methods in statistics.
Sufficient statistics
In this post, let us discuss about sufficient statistics.
Convergence concepts
In this post, we will discuss about several useful convergence concepts in statistics.
Exponential family and generalized linear models
In this post, we will discuss about the exponential family and one of its applications in prediction.
Basics of Probability and Statistics
In this post, we discuss about some basics of probability and statistics such as the definitions, distributions, and moments.
Preface
Recently, I have taken a course in Statistics and since then I have had a different look at probability and statistics from the way I knew them. Therefore, I will dedicate this category to write about what I learn from the course.
Calculus of Variations
Trong bài này, chúng ta hãy cùng tìm hiểu 1 chút về calculus of variations, nền tảng của variational inference.
Naiive Bayes, Nearest Neighbor và K-Means
Post này sẽ bàn về Naiive-Bayes, Nearest Neighbor và K-means.
Classical estimation và Bayesian estimation
Post này sẽ bàn về 2 trường phái nổi tiếng trong statistical estimation: Classical estimation và Bayesian estimation.
Learning to Teach Machines to Learn 