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Java-learning-notes
- 面向对象主要针对面向过程。 面向过程的基本单元是函数。 什么是对象：EVERYTHING IS OBJECT（万物皆对象） 所有的事物都有两个方面： 有什么（属性）：用来描述对象。 -Java learning notes
Oracle SQL scripts for learning
- Oracle SQL scr ipts for learning. Uses standard HR schema.
Machine-learning-demos-
- 所有机器学习方法的集合，功能很全面，效果很赞-All machine learning methods set features a very comprehensive, the effect is praise
machine-learning
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
machine-learning-(2)
- 模式识别和机器学习，数据挖掘方向的专业性程序代码-Pattern recognition and machine learning, data mining direction of the professional code
54725-1377668-platform-e-learning
- Platforme e learning
machine-learning-ex1
- andrew Ng lecture machine learning assignment 课后习题-andrew Ng lecture machine learning assignment
machine-learning-ex2
- andrew Ng lecture machine learning assignment 2 coursera 课后习题 -andrew Ng lecture machine learning assignment
Genetic-algorithm-learning
- 遗传算法教程，让初学者能更加直观的了解遗传算法的原理。-Genetic algorithm learning tutorial, allowing beginners image understanding of the genetic algorithm genetic algorithm learning tutorial, can let a beginner image understanding of the genetic algorithm
learning-tutorial-for-OpenCV
- 一个大牛写得opencv入门教程，对初学opencv很有帮助。-learning tutorial for opencv
Introduction-to-deep-learning
- 深度学习是机器学习最热门的领域,适合机器视觉的深度学习入门讲义-Deep learning is the most popular field of machine learning, suitable for machine vision of deep learning introductory notes
Introduction-to-13deep-learning
- 深度学习是机器学习最热门的领域,适合机器视觉的深度学习-ntroduction to deep learning notes for machine vision, deep learning is now one of the most popular field of machine learning field
CPPBuilder6-practical-learning
- C++编程实例讲解，学习C++可从中解惑。-Learning the C++ builder.
self-taught-learning
- 自主学习把稀疏自编码器和分类器实现结合。先通过稀疏自编码对无标签的5-9的手写体进行训练得到最优参数，然后通过前向传播，得到训练集和测试集的特征，通过0-4有标签训练集训练出softmax模型，然后输入测试集到分类模型实现分类。-Independent Learning the encoder and the sparse classifiers achieve the combination. First through sparse coding since no label was ha
Information-Theory-Inference-and-Learning-Algorit
- Information Theory inference and Learning Alghoritms Book
materials-for-learning-python
- 网友整理的python学习资料，比较全面直观， 请大家阅读-learning materials for python
OReilly-Learning-OpenCV-with-CPP_eBook
- Learning Opencv (2011) in C++ with Tutorials
Unsupervised-learning
- Unsupervised Learning - Clustering
platform-e-learning
- plateforme e-learning en PHP
machine-learning-ex1
- coursera上的机器学习课程中的练习题源代码，这是练习一，实现了梯度下降算法，供学习者参考-Machine learning courses coursera exercises on the source code, which is a practice to achieve a gradient descent algorithm for learner reference