搜索资源列表
yichuan
- 遗传算法，包括其交叉变异选择过程，用于求解函数的极值问题。-Genetic algorithms, including its crossover and mutation selection process for problem solving extremal function.
online_boosting-master
- On line boost程序，应用了adeboost的算法的基本框架，并有所改进-On line boost program
libsvm-python
- LIBSVM的Python语言实验，可以进行分类实验-LIBSVM the Python language experiments, experiments can be classified
neural
- 这是基于python实现的神经网络实例，利用神经网络进行数学二维的回归-This is based on neural network to achieve python instance, the use of two-dimensional neural network mathematical regression
NaiveBayes
- python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
simple-neural-network-master
- Simple programa to build a neutral network
vishal_sahu_sep15
- Alpha–beta pruning is a search algorithm that seeks to decrease the number of nodes that are uated by the minimax algorithm in its search tree. It is an adversarial search algorithm used commonly for machine playing of two-player games (Tic-tac-toe,
DBN-python
- 深度信念网络工具箱，用python写的，包含了受限波尔兹曼机的程序-deep belief network toolbox, including Restricted Boltzmann Machines, python edition
plot_isotonic_regression
- 保序回归是寻找使训练集均方差最小的近似函数，它的优点是目标函数不要线性的。-The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared error on the training data. The benefit of such a model is that it does not assume any form for the tar
pyltp-master
- 自然语言处理包，来源于哈尔滨工业大学ir实验室 python接口-NLP FROM HIT
awesome-machine-learning-master
- 机器学习算法，实习得非常好，值得学习，很不错-machine learning
ML_bayes
- 这段代码是《机器学习实战》中朴素贝叶斯的完整代码实现，大家一起学习进步。-This material is about the naive bayes algorithm which i learn a book about machine learning.
Regression
- 用python及matplotlib实现的回归分析-Regression methodology
Simi-master
- 小黄鸡-人工智能聊天机器人源码，采用神经网络算法-Simi-Small yellow chicken- AI chat robot Source
basicperceptron
- 基本的感知器程序，说明了一个感知器应有的结构，对初学者学习很有帮助。-basic perceptron code, good for learning.
qg_classify
- RNN实现情感分类,深度学习方法-RNN achieve sentiment classification, depth of learning
BPNN.py
- BP全称为Back Propagation，意思为反向传播，该方法是用来对人工神经网络进行优化的，即误差反向传播算法。-BP full name is Propagation Back, mean back propagation, the method is used to optimize the artificial neural network, that is, the error back propagation algorithm.
UserCF
- 推荐算法，基于用户的协同过滤算法，python 实现，简单快速。-recommend algorithm ,collaborate filter algorithm based on user ,python implement.simply and fast
KNN
- 人工智能，机器学习。使用python语言实现KNN算法，解决预测问题。-Artificial intelligence
CNNs
- lr.py是用python实现了逻辑回归的源代码，并附带有注释。mlp.py是用python实现了多层感知机的源代码，并附带有注释。LeNetConvPoolLayer.py是用python实现了LeNet网络，并附带有注释。该文件需要引用mlp.py。-lr.py is python source code achieving a logistic regression , along with comments. mlp.py realized MLP by python, along wi