搜索资源列表
C51-dual-machine-communication
- c51单片机之间的双机通讯，适合新手去初步认知学习-c51-machine communication between the microcontroller, suitable for novice to preliminary cognitive learning
regularization
- 正则化(regularization)，是指在线性代数理论中，不适定问题通常是由一组线性代数方程定义的，而且这组方程组通常来源于有着很大的条件数的不适定反问题。大条件数意味着舍入误差或其它误差会严重地影响问题的结果。-Regularization, in mathematics and statistics and particularly in the fields of machine learning and inverse problems, refers to a process of
maxent
- 运用最大熵对一个文本中的类进行训练模型，然后可用模型进行预测，结果返回类名，是机器学习语言的重要部分，支持汉字分类-Use of maximum entropy of a text in class training model, the model can then be used to predict the results returned class name is an important part of machine learning languages, support for
kmeans-lab
- K means clustering algorithm implementaion, machine learning
libsvm-3.18
- libsvm.rar 为机器学习的开源库matlab语言-libsvm.rar open source library for machine learning matlab language
decision_trees
- 机器学习实战的决策树的代码，经过本来测试，而且将书中运行代码单独写了脚本代码，方便日后直接使用。-Machine learning tree code combat, after the original test, and will run the code alone wrote the book scr ipt code, to facilitate future direct use.
PredictionIO-develop
- PredictionIO, a machine learning server for software developers and data engineers.
Semantic-texton-forests-master
- PRML 书籍源代码 全部用maltab实现。初学者很有帮助-the source code of the book pattern recognition and machine learning
knn
- 机器学习实战-第二章源码-knn算法（kNN.py）-Machine Learning in Action-Ch2.-kNN
machine_learning_face_detect
- machine learning - face detect. matlab code
KNNpython
- python实现的k-近邻算法，用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
spark-logisticregression-and-softmax
- spark平台上的机器学习算法，包括分类、回归以及矩阵相乘的并行实现-Machine learning algorithms spark platforms, including classification, regression and parallel implementation of matrix multiplication
SB2_ControlSettings
- 这是相关向量机的工具包文件的part1,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part1, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
SB2_Diagnostic
- 这是相关向量机的工具包文件的part2,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part2, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
SB2_FormatTime
- 这是相关向量机的工具包文件的part3,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part3, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
SB2_FullStatistics
- 这是相关向量机的工具包文件的part4,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part4, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
SB2_Initialisation
- 这是相关向量机的工具包文件的part5,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part5, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
SB2_Likelihoods
- 这是相关向量机的工具包文件的part6,相关向量机作为机器学习的一种，被广泛用于数据预测、模式识别等等。-This is related to vector machine toolkit files part6, relevance vector machine as a machine learning, it is widely used for data prediction, pattern recognition, and so on.
K-proximity-algorithm
- 机器学习K临近算法python代码，整个工程都有，直接可以运行。-Machine learning algorithm K near the python code, the entire project has a direct run.
Ch03
- Python 机器学习与实战 第三章 决策树分类问题-Python Machine Learning and practical decision tree classification Chapter III