This tutorial is based on the lecture notes for the courses "Machine Learning: Basic Principles" and "Artificial Intelligence", which I have (co-)taught since 2015 at Aalto University. The aim is to provide an accessible introduction to some of the main concepts and methods within machine learning. Many of the current systems which are considered as (artificially) intelligent are based on combinations of few basic machine learning methods. After formalizing the main building blocks of a machine learning problem, some popular algorithmic design patterns formachine learning methods are discussed in some detail.
翻译:本辅导课以“海洋学习:基本原则”和“人工智能”课程的讲解笔记为基础,我自2015年以来在阿尔托大学(共同)教授这两个课程,目的是为机器学习中的一些主要概念和方法提供无障碍的介绍,许多(人工)智能的当前系统基于少数基本机器学习方法的组合。在将机器学习问题的主要构件正规化后,对机器学习方法的一些流行的算法设计模式进行了较详细的讨论。