搜索资源列表
自适应推进算法
- 手写的adaboost算法。效率没有sklearn高，不过可以作为学习资料(Handwritten AdaBoost algorithm. The efficiency is not sklearn high, but it can be used as learning material)
TensorFlow实战_黄文坚（完整）
- 教会你如何通过Python语言实现TensorFlow框架，作为一个深度学习的初学者，想要接触TensorFlow框架的初学者，是非常好的学习资料。(Teach you how to implement TensorFlow framework through the Python language, depth of learning as a beginner, want to contact TensorFlow framework of beginners, is a very good
ml-startup-1
- 线型模型的学习资料 python源码，依赖sk-lean库实现(Linear model of learning materials Python source code, relying on sk-lean library implementation)
thinkpython
- 高清，带标签，很好的python学习资料(The book is high-definition, with a tabbed version, a good learning material Python)
机器学习实战
- 机器学习结合Python的参考资料书，理论与实践结合，评价很好(Machine learning combined with Python reference books, theory and practice combined, evaluation is very good)
Python编程从入门到实践.pdf
- 学习python的最好实践资料，是学习各种神经网络学科的基础。(The best practice for learning python is the basis for learning various neural network disciplines.)
常用库整理
- python编程资料,关于python学习的资料以及小程序编写的例子，常用库整理(Programming data of python)
《深度学习入门：基于Python的理论与实现》
- 本书主要介绍深度学习的核心算法，以及在计算机视觉，语音识别、自然语言处理中的相关应用，适合深度学习从业人士或者相关研究生作为参考资料，也可以作为入门教程来大致了解深度学习的相关前沿技术(This book mainly introduces the core algorithms of deep learning, as well as relevant applications in computer vision, speech recognition and natural languag