搜索资源列表
machine-learning-courses_stanford
- 斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。-The notes of Machine learning courses in Stanford University。
support-vector-machine
- 有关支持向量机基础理论的课件,包括中文和英文的基础介绍、支持向量机的在预测和分类方面的应用。-the PPT about the base theory of support vector machine and the application on forecasting and classifying,including English and Chinese languages.
classic-state-machine-C-code
- 4种经典状态机C代码,代码详细,可供学习者参考-Four kinds of classic state machine C code
Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
Finite-state-machine
- 有限状态机在嵌入式软件中的应用 简述了有限状态及的基本概念和传统理论,提出了利用有限状态机进行程序设计的基本思想。-Finite state machine in the embedded software Finite state and the basic concepts and theories, the basic idea of the finite state machine programming.
Vending-machine
- labview编写的贩卖机程序,买卖很容易实现,可以显示余额-labview write a vending machine program, the sale is very easy to implement, can show the balance
Inside-the-Java-Virtual-Machine
- 本书共分20章,第1-4章解释了java虚拟机的体系结构,包括java栈、堆、方法区、执行引擎等;第5-20章深入描述了java技术的内部细节,包括垃圾收集、java安全模型、java的连接模型和动态扩展机制、class文件、运算及流程控制等等,其中等6章和附录a-c完全可以作为class文件和指令含集的参考手册深入JAVA虚拟机第二版-This book is divided into 20 chapters, chapters 1-4 explain the java virtual mac
machine learning 的线性回归算法
- andrew ng 教授在machine learning 上的线性回归算法matlab代码,对于学习机器学习的新手是一个很好的入门课程
Modélisation de machine asynchrone
- modélisation de machine asynchrone
machine-learning-ex4
- 吴恩达的coursesra作业for week 5.(Coursera machine learning code for week 5.)
Python-Machine-Learning-Blueprints-master
- Python 是当前普遍使用的流行语言,并纳入了科学计算和机器学习的内容,本文件是一个Python机器学习工具包。(Python is a popular language currently used and incorporated into the contents of scientific computing and machine learning. This document is a Python machine learning toolkit.)
State Machine
- labview实现状态机,很实用,想要学习labview的可以下载看看(State Machine on labview)
machine learning
- 第5章机器学习 5.2 神经网络学习 5.3 因果信念网络学习(The fifth chapter, machine learning 5.2 neural network learning 5.3 causal beliefs online learning)
Machine Learning with R
- Machine Learning with R
machine-vision-handbook
- handbook of machine vision
machine-learning-ex8
- 吴恩达老师Cousera上机器学习课程ex8关于协同滤波(Collaborative filtering learning algorithm)的向量化实现以及相关测试数据。(Teacher Andrew Ng Cousera machine learning courses, ex8 Collaborative filtering learning algorithm on the vector implementation and related test data.)
machine-learning-ex4
- 机器学习测试题及答案,自己编写程序,亲测可以运行。(machine learning online test 4 questions and my answer.)
machine-learning-ex1
- machine learning is perfect
machine-learning-ex2
- machine-learning is perfect
machine-learning-ex1
- coursera machine learning 课程联系题(course exercise for machine learning taught by andrew ng)