Hands-On Machine Learning With - Aurelien Geron_1620——笔记

最新推荐文章于 2024-10-10 08:45:36 发布

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最新推荐文章于 2024-10-10 08:45:36 发布

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分类专栏： ML 文章标签： Machine Learning

本文链接：https://blog.youkuaiyun.com/rawrxeyang/article/details/80433414

本文是《Hands-On Machine Learning With》的读书笔记，涵盖了机器学习的定义、监督学习与无监督学习的任务、强化学习的应用、客户分群策略、在线学习系统、外存储算法、实例学习、模型参数与超参数的区别、过拟合的解决方法、训练集、测试集和验证集的用途。还探讨了机器学习中的主要挑战，如数据质量、过拟合等问题。

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第一章：

1、How would you define ML?

ML is the field of study that gives computes the ability to learn without being explicitly programmed.

2、What types of problems where Machine shines?

Machine learning is great for complex problems for which we have no algorithmic solution, to replace long lists of hand-turned rules, to build systems that adapt to fluctuating environments, and finally to help humans learn(eg data mining).

3、What is labeled training set?

每个实例中信息中都包含我们想要的结果（desired solution）。

4、What are the two most common supervised tasks ?

regression and classification.

5、Common unsupervised tasks include clustering, visualization, dimensionality reduction, assionciation rule learning.

6、Reinforcement Learning is likely to perform best if we want a robot learn to walk in various unknown terrains since this is typically the type of problem that Reinforcement Learning tackles. It mig