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Title: GitHub - lucky521/Hello-Machine-Learning: How to start Machine Learning work

Open Graph Title: GitHub - lucky521/Hello-Machine-Learning: How to start Machine Learning work

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Description: How to start Machine Learning work. Contribute to lucky521/Hello-Machine-Learning development by creating an account on GitHub.

Open Graph Description: How to start Machine Learning work. Contribute to lucky521/Hello-Machine-Learning development by creating an account on GitHub.

X Description: How to start Machine Learning work. Contribute to lucky521/Hello-Machine-Learning development by creating an account on GitHub.

Opengraph URL: https://github.com/lucky521/Hello-Machine-Learning

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https://lucky521.github.io/blog/machinelearning/2017/10/26/tensorflow.html	https://lucky521.github.io/blog/machinelearning/2017/10/26/tensorflow.html
https://lucky521.github.io/blog/machinelearning/2018/03/25/boosting.html	https://lucky521.github.io/blog/machinelearning/2018/03/25/boosting.html
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https://lucky521.github.io/blog/machinelearning/2017/01/01/metrics-to-evaluate-model.html	https://lucky521.github.io/blog/machinelearning/2017/01/01/metrics-to-evaluate-model.html
https://lucky521.github.io/blog/machinelearning/2018/03/25/boosting.html	https://lucky521.github.io/blog/machinelearning/2018/03/25/boosting.html
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https://lucky521.github.io/blog/machinelearning/2017/12/21/cnn.html	https://lucky521.github.io/blog/machinelearning/2017/12/21/cnn.html
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#相关repro
https://github.com/lucky521/Hello-Machine-Learning	https://github.com/lucky521/Hello-Machine-Learning
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#资料门户
deeplearning.net	http://deeplearning.net/
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#资料书籍
	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#应用实践类书籍
https://zh.gluon.ai/	https://zh.gluon.ai/
Rules of Machine Learning: Best Practices for ML Engineering	https://developers.google.com/machine-learning/guides/rules-of-ml/
Michael Nielsen的神经网络入门资料	http://neuralnetworksanddeeplearning.com/about.html
University of Montreal LISA lab 的深度学习教材	http://deeplearning.net/tutorial/deeplearning.pdf
Hands-On Machine Learning with Scikit-Learn and TensorFlow	https://github.com/ageron/handson-ml
Python Machine Learning	https://github.com/rasbt/python-machine-learning-book
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#理论类书籍
Machine Learning:A Probabilistic Perspective	https://www.cs.ubc.ca/~murphyk/MLbook/
https://nndl.github.io/nndl-book.pdf	https://nndl.github.io/nndl-book.pdf
	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#经典模型经典方案论文
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#机器学习速查表
https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5	https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
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	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#实践比赛
	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#赛事
http://www.kaggle.com	http://www.kaggle.com
	https://patch-diff.githubusercontent.com/lucky521/Hello-Machine-Learning#比赛获奖的解决方案
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