My foundational machine learning notes [R]

Dear all,

My most recent machine learning research tutorial focuses on Learning Theory and is therefore math-intensive. To cater for people whom are new to ML, I just uploaded a new set of foundational mathematics machine learning notes:

[https://github.com/roboticcam/machine-learning-notes](https://github.com/roboticcam/machine-learning-notes)

containing the following topics: Model Evaluation, Decision Tree, Simple Bayes, Regression, Neural Network and Unsupervised Learning. I used simple mathematics to explain them. Hope they are useful to you!

learning machine machine learning machinelearning notes