资源列表
机器学习实战
- 机器学习是人工智能研究领域中一个极其重要的研究方向，在现今的大数据时代背景下，捕获数据并从中萃取有价值的信息或模式，成为各行业求生存、谋发展的决定性手段，这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。(Machine learning is an extremely important research direction in the field of artificial intelligence. Under the background of the large da
机器学习实战
- 机器学习实战，机器学习，从零基础到大神学习的必备书籍(Machine learning real combat, machine learning, from zero foundation to great God learning essential books.)
Customer-relationship_data-mining
- 客户关系管理与数据挖掘的重要书籍，数据挖掘的算法在客户关系管理中的应用-Customer relationship management and data mining of important books, data mining algorithms in customer relationship management application
程序
- imu融合算法，用扩展卡尔曼融合得到pitch和roll的角度。四元数更新姿态(The IMU fusion algorithm uses extended Kalman fusion to get pitch and roll angles. Quaternion update attitude)
kernelPLS-master
- KPLS代码，代码流畅，运行结果好，可以直接套用在别的地方(KPLS code, smooth code, good results, can be directly applied in other places)
卷积神经网络 - 副本
- 对LeNet-5的matlab实现，识别MINST手写数字集，压缩文件包含程序文件和训练、测试图片文件，程序可直接运行（版本matlab R2008a）(For the matlab implementation of LeNet-5, the MINST handwritten numeric set is identified. The uploaded file contains the program file and the training and test file. The pr
Matlab-Engineering-Mathematics
- 本书共分5篇48章。主要介绍MATLAB提供的统计、优化、偏微分方程数值解、样条和曲线拟合等5个与工程计算关系密切的工具箱。其中统计工具箱、优化工具箱、偏微分方程数值解工具箱和样条工具箱的介绍在国内图书中最全面，并且实例丰富，本书的内容紧随版本的最新变化。-Matlab Engineering Mathematics
Matlab-of-engineering-math
- matlab工程数学。包括统计问题、规划问题、偏微分方程求解、样条工具。-matlab engineering mathematics. Including statistical issues, planning issues, partial differential equations, spline tool.
Maltab在数学建模中的应用_卓金武等
- 了解学习基本的智能算法，掌握matlab语言编写方式(Learn the basic intelligent algorithms,and master the written way of MATLAB language.)
imgClassi_Code
- Image classification project
vessel
- 对于一个管道模型的弹性力学模拟，计算形变和应力(For the elastic simulation of a pipe model, calculate the deformation and stress)
mpt_ver262
- 多参数规划工具箱用来计算约束线性及分段仿射系统控制器的最优显式解。-multi-parametric toolbox(MPT)is a matlab toolbox for computing explicit optimal orsub-optimal feedback control laws for constrained linear and piecewise affine systems.