搜索资源列表
PNN
- PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1
Bayesian-machine-learn-data-mining
- 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
Pattern.Recognition.and.Machine.Learning
- 著名的机器学习教程，很清晰，适合初学者，实模式识别领域必读的书籍-Well-known machine learning tutorial, very clear, suitable for beginners, must-read books on real field of pattern recognition
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.)
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-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)
TensorFlow+Machine+Learning+Cookbook
- Explore machine learning concepts using the latest numerical computing library — TensorFlow — with the help of this comprehensive cookbook(TensorFlow was open sourced in November of 2015 by Google, and since then it has become the most starred mach
machine-learning-ex1
- coursera上吴恩达老师讲的机器学习的实验一的代码，部分代码和其他人的不一样，比如for循环我直接用矩阵做(coursera on machine learning experiments Andrew Ng teacher talking about a code part of the code and not the same as others, such as for loop I do directly with the matrix)
Python-Machine-Learning-Algorithm-master
- Python-Machine-Learning-Algorithm-master的源代码(Python-Machine-Learning-Algorithm-master source code)
Machine Learning
- 机器学习的入门知识，简单易懂，适合机器学习的小白。(A popular book for Machine Learning beginners.)
Intro to Machine Learning.pdf
- INTRODUCTION TO MACHINE LEARNING Alex Smola and S.V.N. Vishwanathan
Machine Learning for Absolute Beginners.pdf
- Machine Learning for Absolute Beginners by Oliver Theobald
Pattern Recognition and Machine Learning
- for machine learning
Machine Learning With Go
- learning machine learning with golang.
作业数据---machine-learning-master
- machine learning作业数据(machine learning homework)
Machine learning A Probabilistic Perspective
- 经典教学书籍<Machine learning A Probabilistic Perspective>(book <Machine learning A Probabilistic Perspective>)
伯克利大学机器学习(Practical Machine Learning)
- 伯克利大学机器学习相关资料，教程，论文，等(Berkeley University Machine Learning related Materials, courses, papers, etc.)