搜索资源列表
machine-learning-ex1
- matlab NG的机器学习第一节的课后作业答案-matlab NG machine learning Section homework answers
Machine-Learning-in-Action
- Machine Learning in Action详细讲述了机器学习的基本知识和著名的算法。对该书的阅读会让你快速走进机器学习的大门。-Machine Learning in Action in detail about the basics of machine learning algorithms and famous. To read the book you will learn quickly into the machine door.
machine-learning-video-class-notes
- 斯坦福大学机器学习视频课的讲义，详细讲述了机器学习理论和方法。-Stanford university machine learning video class notes, machine learning theory and method is described in detail.
machine-learning-ex1
- 斯坦福大学机器学习第一次作业，可以参考，自己写的-Stanford Machine Learning first job, you can refer to
machine-learning-ex2
- 斯坦福大学机器学习第2次作业 可供参考 100分-Stanford Machine Learning for the second job reference 100
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
machine-learning-ex4
- 斯坦福大学机器学习第4次作业 可供参考 100分-Stanford Machine Learning 4th job for reference 100
machine-learning-ex5
- 斯坦福大学机器学习第5次作业 可供参考 100分-Stanford Machine Learning for the fifth job reference 100
machine-learning-of--stanford
- 斯坦福大学的机器学习课件，全英文的。学习用-PowerPoint of machine learning lessons stanford
machine-learning-of-xibeigongye
- 机器学习课件，西北工业大学的，全英文ppt，没有密码-machine learning lessons of xibei gongye daxue
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
machine-learning-stanford081203
- 斯坦福大学教授教授的课程，机器学习，有全部的matlab源码，非常适合机器学习初学者-Stanford University professor of curriculum, machine learning, there are all the matlab source code, very suitable for beginners of machine learning
Machine-Learning-in-Action
- This the python code according to the book named machine learning in action.-This is the python code according to the book named machine learning in action.
Li-Hang-Machine-learning-process
- 李航博士的机器学习过程，以及对机器学习中的各类算法点评，很实用。-Dr. Li Hang Machine learning process, as well as various types of machine learning algorithms reviews, very practical.
Machine-Learning-in-Python
- 《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。-Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examp
machine--Learning-concept
- 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。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-Machine Learning (Machine Learning, ML) is more than one field of
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
machine-learning-ex1
- 斯坦福大学机器学习课程作业第一章，主要包含线性回归实战。-Stanford Machine Learning course work first chapter contains a linear regression combat.
machine-learning-ex2
- 斯坦福大学机器学习课程作业第二章，主要包含逻辑逻辑回归算法实战。-Stanford University machine learning course of the second chapter, including logic logic regression algorithm combat.
machine-learning-ex3
- 斯坦福大学机器学习课程作业第三章，主要包含人工神经网络算法初阶实战。-Stanford University machine learning course work The third chapter, mainly contains the artificial neural network algorithm initial combat.