https://github.com/kevinleeex/notes-for-mlcc
:books:This is the personal notes for Google Machine Learning Crash Course
https://github.com/kevinleeex/notes-for-mlcc
Last synced: 3 months ago
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:books:This is the personal notes for Google Machine Learning Crash Course
- Host: GitHub
- URL: https://github.com/kevinleeex/notes-for-mlcc
- Owner: kevinleeex
- Created: 2018-11-22T18:29:25.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-12-31T07:47:43.000Z (over 6 years ago)
- Last Synced: 2025-01-16T00:53:31.656Z (5 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 13.2 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 谷歌机器学习速成课程笔记(Notes for Google MLCC)
> 该笔记内容均来自[MLCC](https://developers.google.com/machine-learning/crash-course),对原有文章内容,在尽量保留原义的情况下做了部分增删改;对原有的代码,自己进行了重写。
- **更新日期**: 2018-11-26
## 适合读者
就我个人而言,我更愿意称这门课程为:给工程师或开发者准备的机器学习课程,课程结合了理论与实践,并在两者之间有很好的权衡。
## 下载
> 使用Pandoc构建的PDF
- [PDF](./publish/notes-for-mlcc.pdf)## 开始阅读
- [0.Preparing](./notes/00-preparing.md)
- [1.Framing](./notes/01-framing.md)
- [2.Descending into ML](./notes/02-descending_into_ml.md)
- [3.Hello TensorFlow](./notes/03-hello_tensorflow.md)
- [4.Generalization](./notes/04-generalization.md)
- [5.Validation](./notes/05-validation.md)
- [6.Representation](./notes/06-representation.md)
- [7.Feature Crosses](./notes/07-feature_crosses.md)
- [8.Regularization for Simplicity](./notes/08-regularization_for_simplicity.md)
- [9.Logistic Regression](./notes/09-logistic_regression.md)
- [10.Classification](./notes/10-classification.md)
- [11.Regularization_for_Sparsity](./notes/11-regularization_for_sparsity.md)
- [12.Hello_Neural_Networks](./notes/12-hello_neural_networks.md)
- [13.Training_Neural_Networks](./notes/13-training_neural_networks.md)
- [14.Multi-class Neural Networks](./notes/14-multiclass_neural_networks.md)
- [15.Embeddings](./notes/15-embeddings.md)
- [16.Machine Learning Engineering](./notes/16-ml_engineering.md)
- [17.Machine Learning Systems in The Real World](./notes/17-ml_systems_in_the_real_world.md)
- [18.Next Steps](./notes/18-next_steps.md)## 版权声明
本仓库下的所有文章均受[Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/)版权保护。
本仓库下的所有代码均受[Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0)版权保护。