搜索资源列表
3
- 反向传播，机器学习，神经网络算法，一起学习学习(bp(backpropgation algorithm))
milk-master
- 机器学习python类库，机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。(Machine learning Python class library)
PRML
- Christopher M Bishop，PRML 机器学习的经典书籍(A masterpiece of Machine Learning written by Christopher M Bishop, PRML.)
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)
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)
machine learning
- 机器学习算法非常详细，包括深度学习，遗传算法，蚁群算法(Detailed introduction to machine learning algorithms)
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)
ex7
- 吴恩达机器学习课程第8周编程作业,自己原创的。(The eighth week program of the Andrw Ng machine learning course)
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)
深度学习
- 这本书的主题——深度学习是通向人工智能的途径之一。具体来说，它 是机器学习的一种，一种能够使计算机系统从经验和数据中得到提高的技术。我们 坚信机器学习可以构建出在复杂实际环境下运行的AI 系统，并且是唯一切实可行的 方法。深度学习是一种特定类型的机器学习，具有强大的能力和灵活性，它将大千 世界表示为嵌套的层次概念体系（由较简单概念间的联系定义复杂概念、从一般抽 象概括到高级抽象表示）(The subject of this book, deep learning, is one of
CART
- 对汽车评估的分类决策树构建,使用了常用的python的机器学习库scikit-learn(Construction of classified decision tree for automobile evaluation,Use the common Python's machine learning library scikit-learn)
机器学习西瓜书聚类程序
- 根据周志华机器学习203页的图9.2编写的matlab程序。xgP203.m是主程序。中间有一些是为了验证算法，输出了一些运算结果。
SVM机器学习算法
- 该文件主要包含了Matlab条件下开发的SVM算法，该算法主要用于机器视觉的学习与分类(The file mainly includes the SVM algorithm developed under the Matlab condition, which is mainly used for learning and classification of machine vision.)
logRegres
- 机器学习中的逻辑回归代码，含两个数据集，用python实现(logistic regression code in machine learning,including two datasets)
Python机器学习实战
- python的入门程序，较多例子，值得学习，愿对你有所帮助(Python's introductory program, more examples)
machine learning-matlab
- 机器学习是一门强大的语言，可以拟合、仿真、预测 各类数据之间的非线性映射，并揭示彼此间的联系(Machine learning is a powerful language that can fit, simulate, and predict the nonlinear mapping of various data and reveal the relationship between each other.)
1天搞懂深度学习
- 1天搞懂深度学习 深入浅出理论知识，快速掌握当前火热的人工智能理论(1 days get deep learning in theoretical knowledge, master the theory of artificial intelligence the current hot fast)
MachineLearning-master
- 有关于机器学习的各方面知识，有具体的数据编程(There are all aspects of machine learning and specific data programming)
MLBook source code
- 机器学习的一些源码，包括KNN，k邻近，RNN神经网络等一些代码，参考书目周志华机器学习(Some source code for machine learning)
深度学习
- 深度学习概念、基本模型介绍、机器学习基础、深度前馈网络(An introduction to the concept of deep learning and the basic model)