In this post, I will list down all blog post I’ve composed throughout the semester, as well as some external resources which I believe will be of great use.

In this post, I will offer you some intuitive understanding about the d-separation in Graphical Models, esp. in Bayes Network (BN). It covers the ideas of conditional independence and local Markov condition. The note is motivated by PRML Chap 8.2 and Question 3 in Assignment 3.

In this post, I am going to list down all external materials that I’ve found for the entire content throughout the course. Since the final exams are going to be open book, feel free to download them and make best uses of them.

In this post, I will go over some limitations of the k-means algorithm. To better understand the algorithm, I highly recommend you look into Stanford’s CS229 course note on clustering.

In this post, I will go over the SVM-related questions we have dicussed about last Friday. A scanned version of all the 6 questions is available here. Please refer to it while you are skimming through this post. For obvious reasons, Q3 is let go since it’s related to Logistic Regression.

This post is going to share some of my own thoughts on the concept of AdaBoost. Notice it is not going to be superbly rigid, but rather I’d like build up some intuition.

This post is going to share some of my own thoughts on the concept of logistic regression. Notice it is not going to be superbly rigid, but rather I’d like build up some intuition.

Here I assemble all the useful resources I have collected so far for both Assignment #1 Part 1 and Project #1.

This article is originally written in Chinese. Permission to translate has been granted by the author. The link to the orginal post is here.

This article is originally written in Chinese. Permission to translate has been granted by the author. The link to the orginal post is here. Notice this article uses different symbols from the in-class notes, so do feel free to substitute.

Here I assemble all the useful resources I have collected for Assignment #1 Part 1, and maybe for any potential uses in future. Going through all of these may greatly help you understand the concepts and, at least, score well in homework assignments.

Below are the 3 exercise problems discussed in class regarding the Beta Distribution. Going through all of these may greatly help you with understanding important concepts, and, at least, preparing for the first midterm exam.

Below are the tool bundles for coding on ASU’s remote Linux server.

Next you can update your site name, avatar and other options using the _config.yml file in the root of your repository (shown below).