Supervised Learning Unsupervised Learning Reinforced Learning Goal: How to apply these methods How to evaluate each methods What is Machine Learning? 1.computational statistics 2.computational artifacts(人工制品) that learn over time based on experience…
@(131 - Machine Learning | 机器学习) 零. Goal How Unsupervised Learning fills in that model gap from the original Machine Learning work flow 2.How to compare different models developed using Unsupervised Learning for their relative strengths and relative…
1.什么是监督性学习?Supervised Machine Learning. 在监督性学习,我们给定一个数据集以及我们已经知道正确输出的结果,然后找到一个输入和输出的关系. In Supervised learning,we are given a data set and already know what our correct output should look like ,having the idea that there is a relationship between th…
引言 最近实验室的项目需要用到强化学习的有关内容,就开始学习起强化学习了,这里准备将学习的一些内容记录下来,作为笔记,方便日后忘记了好再方便熟悉,也可供大家参考.该篇为强化学习开篇文章,主要概括一些有关强化学习的内容,以帮助了解什么是强化学习,以及学习方向,部分涉及到的内容将会在后面的篇章中展开详细的叙述.推荐课程(Utubu上的,需FQ),B站上也有. 基础概念和实际运用 定义 首先先看一段定义:Reinforcement learning is learning what to do—how…
