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:books:This is the personal notes for Google Machine Learning Crash Course
https://github.com/kevinleeex/notes-for-mlcc

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:books:This is the personal notes for Google Machine Learning Crash Course

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# 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。