书籍

书籍目录

下面书籍都是开源书本或者网络资源,使用请遵守相关法律。

  • 可解释的机器学习
202311141954574

🌙在线阅读https://hjiezero.github.io/posts/32fedbdb/

开源链接https://github.com/MingchaoZhu/InterpretableMLBook

推荐指数:⭐⭐⭐

🎊豆瓣评分:5.6分

📕类别:机器学习

😉推荐阅读

https://hjiezero.github.io/posts/cd6f0230


  • 模式识别与机器学习
202311141956310

🌙在线阅读https://hjiezero.github.io/posts/8959fb27/

开源链接

https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E6%A8%A1%E5%BC%8F%E8%AF%86%E5%88%AB%E4%B8%8E%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0PRML_Chinese_vision.pdf

推荐指数:⭐⭐⭐⭐⭐

🎊豆瓣评分:9.8分

📕类别:机器学习

😉推荐阅读


  • Gaussian Processes for Machine Learning

🌙在线阅读https://hjiezero.github.io/posts/6b4c75c/

开源链接https://gaussianprocess.org/gpml/chapters/RW.pdf

推荐指数:⭐⭐⭐⭐⭐

🎊豆瓣评分

📕类别:机器学习

😉推荐阅读


论文目录

论文大多为自己的阅读笔记,访问密码:hjie


  • Machine Learning Guided Polyamide Membrane with Exceptional Solute–Solute Selectivity and Permeance

⏱️论文地址https://doi.org/10.1021/acs.est.2c05571

🗒️笔记https://hjiezero.github.io/posts/b447d159

📰期刊类型Environmental Science & Technology


  • “Why Should I Trust You?”: Explaining the Predictions of Any Classifier

⏱️论文地址https://dl.acm.org/doi/10.1145/2939672.2939778

🗒️笔记https://hjiezero.github.io/posts/cd6f0230

📰期刊类型Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining


  • A Unified Approach to Interpreting Model Predictions

⏱️论文地址http://arxiv.org/abs/1705.07874

🗒️笔记https://hjiezero.github.io/posts/5bf8429

📻在线阅读: https://arxiv.org/pdf/1705.07874.pdf

📰期刊类型Environmental Science & Technology


Very Deep Convolutional Networks for Large-Scale Image Recognition

⏱️论文地址http://arxiv.org/abs/1409.1556

🗒️笔记https://hjiezero.github.io/posts/6d8b26d3/

📻在线阅读: https://arxiv.org/pdf/1409.1556.pdf

📰期刊类型


1、A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

2、贝叶斯优化方法和应用综述

⏱️论文地址
1、http://arxiv.org/abs/1012.2599
2、贝叶斯优化方法和应用综述

🗒️笔记https://hjiezero.github.io/posts/d129933e/

📻在线阅读: https://arxiv.org/pdf/1012.2599.pdf

📰期刊类型:研究综述


  • Transformer模型

⏱️论文地址http://arxiv.org/abs/1706.03762

🗒️笔记https://hjiezero.github.io/posts/44dbd2a1

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