搜索资源列表
Feature_engineering_and_model_tuning
- kaggle案例编程,Python机器学习Kaggle案例实战(Kaggle case programming, Python machine learning Kaggle case real battle)
deeplearningbook-chinese-master
- 一本深度学习pdf版文档，帮助大家学习基础知识(A deep learning PDF document to help you learn the basics)
machine-learning-ex7
- 吴恩达机器学习课程，第八周作业，详解如何实现PCA以及kmeans(Andrew NG machine learning course, eighth weeks of assignment, detailed how to implement PCA and kmeans)
machine-learning-ex8
- 吴恩达机器学习公开课第九周作业，教你如何用“协同过滤”算法实现电影推荐系统(Andrew NG machine learning open class ninth weeks assignment to teach you how to use the "collaborative filtering" algorithm to implement the movie recommendation system)
minzmum
- 基本遗传学习分类系统,编写了基本遗传算法程序()
《MATLAB程序设计教程》电子教案-2660
- MATLAB的程序设计案例能够很好的帮助MATLAB的入门学习。(MATLAB's program design case can help MATLAB's introductory learning very well.)
131399
- 本程序代码是PSO算法的又一个实例代码,希望大家共同学习()
jxmanticsprocesssconstraint
- 本程序实现了红黑树的插入,删除等算法,学习红黑树的可以下载看看,很有价值哦!()
适用于粒子滤波器的学习
- 适用于粒子滤波器的学习，深化对MATLAB中粒子滤波的理解。(The learning of particle filters is very useful and helps to deepen your understanding of particle filtering in MATLAB.)
USOMJVC029
- 这是学习动态规划时用动态规划设计分析实际问题,用动态规划方法设计的数塔问题,棋盘覆盖,和01背包问题的源码,希望朋友们需要()
autocode
- 在高斯噪声下，使用深度学习进行符号调制，画出星座图(Under Gauss's noise, we use deep learning to make symbol modulation and draw a constellation)
《MATLAB统计分析与应用：40个案例分析》
- 《MATLAB统计分析与应用：40个案例分析》程序与数据适用于新手学习，辅助课本效果会更好("MATLAB statistical analysis and application: 40 case analysis" program and data are suitable for novice learning, and the effect of auxiliary textbooks will be better)
Copula似然函数
- 有助于新手学习Copula原理，内容比较简单，并且带有注释，非常详细(It helps the novice to learn the principle of Copula, the content is simple, and with annotations, very detailed)
Mix-Copula
- 有助于新手学习，帮助学习Mix-Copula原理，注释简单明了，希望有用(It helps the beginners to learn, helps to learn the Mix-Copula principle, the annotations are simple and clear, and they hope to be useful.)
NMMZ
- 这是关于kalman的程序,对学习kalman的人会有一定的帮助()
deep
- 用深度学习做黑烟检测的论文，很有用，欢迎大家下载。(Using deep learning to detect smoke.)
拓扑优化程序学习报告
- 对一个具体的部件结构，从设计思路到力学计算，到最后的程序设计和说明，详细的分析了拓扑优化的设计思路，为学习者提供易于理解，易于学习的资料(For a specific component structure, from design idea to mechanical calculation, to the final program design and explanation, the design idea of topology optimization is analyzed in
PRML_Chinese_vision
- PRML中文版，机器学习理论学习必备书籍(Pattern Recognition and Machine Learning,it's the best of Machine Learning books)
MATLAB Codes for Dimensionality Reduction
- 子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)
machine_learning_inaction
- 机器学习十大算法实现，包括决策树、logisitic回归、SVM、数据降维等(Ten algorithms for machine learning, including decision tree, logisitic regression, SVM, data reduction and so on)