MNIST fetch_openml returns the unsorted MNIST dataset, whereas fetch_mldata() returned the dataset sorted by target (the training set and the test set were sorted separately). import numpy as np def sort_by_target(mnist): reorder_train = np.array(sor…

many Machine Learning problems involve thousands or even millions of features for each training instance. not only does this make training extremely slow,it can also make it much harder to find a good solution. this problem is often referred to as th…

if you aggregate the predictions of a group of predictors,you will often get better predictions than with the best individual predictor. a group of predictors is called an ensemble:this technique is called Ensemble Learning,and an Ensemble Learning a…

Decision Trees are versatile Machine Learning algorithms that can perform both classification and regression tasks,and even multioutput tasks. Decision Trees are the fundamental components of Random Forests,which are among the most powerful Machine L…

属性与特征: attribute: e.g., 'Mileage' feature: an attribute plus its value, e.g., 'Mileage = 15000' Note that some regression algorithm can be used for classification as well,and vice versa. For example,Logistic Regression is commonly used for classifica…

SVM is capable of performing linear or nonlinear classification,regression,and even outlier detection. SVMs are particularly well suited for classification of complex but small- or medium-sized datasets. Linear SVM Classification: Soft Margin Classif…

Linear Regression The Normal Equation Computational Complexity 线性回归模型与MSE. the normal equation: a closed-form solution to find the value of θ that minimize the cost function. generate some linear-looking data to test this equation. inv() to compute t…

the main steps: 1. look at the big picture 2. get the data 3. discover and visualize the data to gain insights 4. prepare the data for machine learning algorithms 5. select a model and train it 6. fine-tune your model 7. present your solution 8. laun…

<针对女性库欣综合征患者的自动面部分类-一种新颖的筛查方法> Abstract 目的:库兴氏综合征对身体造成相当大的伤害如果不及时治疗,还经常是诊断的时间太长.在这项研究中,我们旨在测试面临分类软件是否会侵扰歧视柯兴氏综合征健康对照组. 设计:诊断研究. 病人:使用普通数码相机,我们把额和概要文件的照片20女库兴氏综合征患者和40性年龄组. 测量:半自动分析照片是由比较纹理和几何网格内节点放置在图片.分析的交叉验证法对受试者由软件进行分类. 结果:软件正确分类85.0%的患者和95.0%的控制…

imbalanced time series classification http://www.vipzhuanli.com/pat/books/201510229367.5/2.html?page=2 这个专利可以去国家专利局网站查询,有具体文档. https://www.jianshu.com/p/3e8b9f2764c8 机器学习已经成为了当前互联网领域不可或缺的技术之一,前辈们对机器学习模型的研究已经给我们留下了一笔非常宝贵的财富,然而在工业界的应用中我们可以看到,应用场景千千万万,数…