Two notes on machine “Learning”

Introductory Machine Learning Notes

Machine Learning has become a key to develop intelligent systems and analyze data in science and engineering. Machine learning engines enable systems such as Siri, Kinect or the Google self driving car, to name a few examples. At the same time machine learning methods help deciphering the information in our DNA and make sense of the flood of information gathered on the web. These notes provide ...

Machine Learning Lecture Notes

i is typically called a feature or an attribute. We generally distinguish between two related but different types of prediction problems: classification and regression. Generally speaking, we have a classification problem if Y is discrete and a regression problem when Y is continuous. The classification problem refers to constructing a function that for a previously unseen data point x infers (...

Cs 229 Notes: Machine Learning

Part 1. Supervised Learning 1

Some Notes on Applied Mathematics for Machine Learning

This chapter describes Lagrange multipliers and some selected subtopics from matrix analysis from a machine learning perspective. The goal is to give a detailed description of a number of mathematical constructions that are widely used in applied machine learning.

Statistical Machine Learning Notes 5 Template Methods