Notes on Andrew Ng’s lecture on Coursera (ML)

In general, any machine learning problem can be assigned to one of two broad classifications:
Supervised learning and Unsupervised learning.

Tom Mitchell provides a more modern definition: “A…

Eigen-stuffs

Eigenvectors

For a linear transformation, an eigenvector is a vector which, after applying the transformation, stays in the same span.

When we say eigenvectors, we always need to say eigenvectors of a linear transformation.
It's the same with…

Book note: Intro to Statistical Learning (ISL)

Model selection: Prediction vs. Inference

• If our goal is to understand the data, namely the inference, then it's better to choose the model with more interpretability.

Free Hardwares for Deep Learning

Commands

• Check OS: cat /etc/os-release
• Check Storage: df -h
• Check CPU: cat /proc/cpuinfo
• Check RAM: cat /proc/meminfo
• Check GPU:

Notes on Andrew Ng’s lecture: Types of learning (ML)

Supervised learning

feeding algorithm data with right answers, so it can predict more accurately.

Book note: Math for Machine Learning chapter 2

Types of Vectors:

Mathematical…

Book note: ISL chapter 3 Linear Regression

SLR (Simple Linear Regression)

which is to examine how ONE variable effect the result.

Linear Regression: Assume there is linear relationship between x and y. so that’s to be: