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
🌙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:
- 模式识别与机器学习
🌙在线阅读:https://hjiezero.github.io/posts/8959fb27/
☀开源链接:
⭐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
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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