import random import numpy as np l, num, gen_min_, gen_max_ = [], 100, 1, 200 l = [random.randint(gen_min_, gen_max_) for i in range(0, num, 1)] l_std, l_average = np.std(l), np.average(l) ll = [(i - l_average) / l_std for i in l] sum_ll = sum(ll) 不等…

0.Principal component analysis (PCA) Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated …

What is EI? Enterprise Integration (EI) is a business computing term for the plans, methods, and tools aimed at modernizing, consolidating, and co-coordinating the computer applications in an enterprise. EI Levels Data Level Integrates and synchroniz…

https://jmetzen.github.io/2015-01-29/ml_advice.html Advice for applying Machine Learning This post is based on a tutorial given in a machine learning course at University of Bremen. It summarizes some recommendations on how to get started with machin…

Home › Data Standardization Data Standardization Data standardization is the critical process of bringing data into a common format that allows for collaborative research, large-scale analytics, and sharing of sophisticated tools and methodologies[美[…

这是一篇翻译的博客,原文链接在这里.这是我看的为数不多的介绍scikit-learn简介而全面的文章,特别适合入门.我这里把这篇文章翻译一下,英语好的同学可以直接看原文. 大部分喜欢用Python来学习数据科学的人,应该听过scikit-learn,这个开源的Python库帮我们实现了一系列有关机器学习,数据处理,交叉验证和可视化的算法.其提供的接口非常好用. 这就是为什么DataCamp(原网站)要为那些已经开始学习Python库却没有一个简明且方便的总结的人提供这个总结.(原文是cheat…

基于实例的学习方法中,最近邻法和局部加权回归法用于逼近实值或离散目标函数,基于案例的推理已经被应用到很多任务中,比如,在咨询台上存储和复用过去的经验:根据以前的法律案件进行推理:通过复用以前求解的问题的相关部分来解决复杂的调度问题.      基于实例方法的一个不足是,分类新实例的开销可能很大.这是因为几乎所有的计算都发生在分类时,而不是在第一次遇到训练样例时.所以,如何有效地索引训练样例,以减少查询时所需计算是一个重要的实践问题.此类方法的第二个不足是(尤其对于最近邻法),当从存储器中检索相似…

PROBLEM: OmniAnomaly multivariate time series anomaly detection + unsupervised 主体思想: input: multivariate time series to RNN ------> capture the normal patterns -----> reconstruct input data by the representations ------> use the reconstruction pr…

The data of scanning reference electrode will not show initially. Here is a summary of recovering its data using EEGLab. Firstly, official website of EEGLab has given a detailed method: Chapter_04:_Preprocessing_Tools. Below is some discussions on th…

Carlo Batini, Cinzia Cappiello, Chiara Francalanci, and Andrea Maurino. 2009. Methodologies for data quality assessment and improvement. ACM Comput. Surv. 41, 3, Article 16 (July 2009), 52 pages. (gs:173) 这篇论文是关于数据质量方法的综述,全文共52页(其中正文34页,附录18页),对现有的"d…