Aurélien Géron人工智能入门教材:Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow - 人工智能 - 弦圈www.manitori.xyz/circles/9/posts/202 同时也欢迎大家来我的小众网站弦圈一起交流讨论呀: 弦圈- 找到属于你的圈子www.manitori.xyz/...
这篇笔记来自Hands-On Machine Learning with Scikit-Learn,Keras and TensorFlow第2版Part 1 的Chapter 1:Machine Learning Landscape,这一章节主要对机器学习的概念、类型、典型算法、常见问题和解决方法进行了简要的概述。(p20-p61) p.s.值得说明的是这本书分为两部分,Part 1介绍通用而经典的机器学习算法,Part ...
下图表示:online learning模型先上生产环境,再源源不断地学习小批量数据: 下图表示:使用online learning来处理大批量训练数据(模型训练 机器无法存储这么巨大的训练数据集): 通过以上描述,会发现Online learning的一个比较大的挑战和问题是,如果新来的小批数据中包含过多噪声数据,会严重影响模型训练效果。如果发现新数...
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd Edition-2, 视频播放量 45、弹幕量 0、点赞数 0、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者 最无趣阿婆主, 作者简介 ,相关视频:Hands-on Machine Learning with Scikit-Learn, Keras, and
Deep Learning9.2 Bandit Algorithms for Website Opti...7.8 Operating Systems9.7 Practical SQL9.2 Algorithms Illuminated (Part 2) 动手学深度学习9.2 Python for Data Analysis9.0 我要写书评 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition的书评 ···(全部 13 条) 热门...
supervised learning task regression task batch learning(数据源不是流式的) 评价指标:均方根误差(RMSE),计算方法: 或者也可以使用MAE: 上边RMSE是欧式距离,而MAE是曼哈顿距离,当然还有普通的n阶。规范指数越高,它越关注大值而忽略小值。这就是为什么RMSE对异常值比MAE更敏感的原因。但是,当离群值呈指数形式稀有...
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Concepts, Tools, and Techniques to Build Intelligent SystemsAurélien GéronGet Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition now with the O’Reilly learning platform. O’Reilly members experience books, live events, courses curated by job role, and more from O...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron Buy on Amazon Chapter 4. Training Models So far we have treated Machine Learning models and their training algorithms mostly like black boxes. If you went through some of the exercises in the ...