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Image-processing-analysis-
- 也是一本较好的图像处理与机器视觉的书籍，希望对大家有帮助，仅提供给对自己需要的朋友学习，不得用作获利工具-Image processing analysis and computer vision
shuzituxiangchuliyujiqishibie
- 数字图像处理和机器识别C++和matlab识别书籍第三部分，讲解详尽，适合学习-Digital image processing and machine identification C++ and matlab identification books first part, explain the detailed, suitable for learning
shuzituxiangchuliyushijue4
- 数字图像处理和机器识别C++和matlab识别书籍第一部分，讲解详尽，适合学习-Digital image processing and machine identification C++ and matlab identification books forth part, explain the detailed, suitable for learning
machinelearninginaction
- 这是书籍机器学习实践的 每一章节的代码，代码用Python写的，很实用。-The machine learns every chapter code
DeepLearningBook.pdf
- 深度学习书籍,作者是GAN 网络的创始人，值得一看。将深度学习，神经网络和机器学习讲解的很清楚，不仅仅如此，把深度学习的理论知识讲解的饿很透彻。-Deep learning books, the author is the founder of the GAN network, worth a visit. The depth of learning, neural networks and machine learning to explain very clearly, not only t
Machine Learning
- 这是一本关于机器学习的书籍，介绍了机器学习常见算法的原理和实现代码，有例子。(This is a book on machine learning, introduced the principles of machine learning algorithms and the realization of code, there are examples.)
myBayes
- 这个是本人自己写的朴素贝叶斯算法，参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
PYTHON MACHINE LEARNING BOOK
- python机器学习从零开始的入门书籍,其中有很不错的例子可以学习(a good python machine learning book, it must be helpful for you to learn machine learning technology.)
面向机器智能的TensorFlow实践
- 适合作为Tensorflow学习的入门书籍，很多基本概念讲的比较清楚(Suitable for Tensorflow as an introduction to learning books, explain many basic concepts more clear)
新建文件夹
- 第三版英文原版书籍，神经网络与机器学习，欢迎学习(Third edition of English original books, neural network and machine learning, welcome to learn)
Pattern Recognition and Machine Learning
- 这是机器学习的经典书籍，理论深入，值得研究(This is a classic book of machine learning, in-depth theory, worthy of study)
[Peter_Harrington]_Machine_Learning_in_Action
- 机器学习入门书籍，结合python,适合初学者来阅读。(The machine learning based on the python is suitable to the freshman.)
Deep Learning
- deep learning 书籍，此书包括机器学习基础，深度前馈网络，卷积网络，蒙特卡洛方法等的详细介绍(Deep learning books, which include a detailed introduction to machine learning, deep feedforward networks, convolution networks, Monte Carlo methods, and so on)
ML
- 系统介绍MATLAB机器学习相关工具箱及算法的书籍(MATLAB machine learning toolbox and algorithm books are introduced systematically. @BOOK{barberBRML2012, author = {Barber, D.}, title= {{Bayesian Reasoning and Machine Learning}}, publisher = {{Cambridge University Pre
贝叶斯方法 -概率编程与贝叶斯推断 zip
- Probabilistic Programming and Bayesian Methods for Hackers是一本写给开发者的关于贝叶斯方法和概率问题的免费开源书。贝叶斯方法的用途十分广泛，在经济学上能找出一堆的例子。而在IT行业，机器学习是非常典型的一个应用。而机器学习也是本书作者写本书的一个重要的理由。 本书选择了Python作为编程语言，这一点都不奇怪，Python在科研和数据分析上的应用是非常方便和普遍的，比如大名鼎鼎的Numpy等。作者在本书中使用另一个库PyMC，它依赖
TensorFlow
- 白化深度学习与Tensorfolw，很好的机器学习入门书籍。(White Deep Learning and Tensorfolw are good introductory books for machine learning.)
最优化方法
- 最优化方法，学习优化理论，机器学习的最佳书籍，