Variance Function

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Several algorithmic common sense you have to know in machine learning

We already know that we want to have a generalization ability of models learned through machine learning. In a straightforward way, it is that the learned model not only works well in the training samples, but also works in new samples well.

Statistical significance test of data in Web Analytics

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall in the website analysis, often do site optimization test, will compare the conversion rate of different schemes, such as bounce rate, Order Purchase rate, button clicks, etc., will also record the visitors or customers detailed data performance. But many times the difference is very small, whether it is to maintain the status quo or full use of the content of the new plan, it is difficult to have a conclusion, so ...

Important variables for user tiering

According to my previous experience, because there are sensitive data involved, so the use of the virtual and symbolic processing, may not be easy to read, but the digital presentation is not the main theme, this article focuses on the user-layered approach, hoping to help. This article discusses the user layering, different from the regular user segmentation, the biggest difference is that the hierarchy is the concept of sequencing, that is, the progressive relationship between the layers, and the general subdivision is the concept of the classification, that is, the relatively independent of each other.   Broadly speaking, subdivision includes layering. Now for example market sellers layering, introducing the entire study ...

Big data analysis old birds give rookie learn from the experience of the younger brothers

The author of this article: Wuyuchuan &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; The following is my experience in the past three years to do all kinds of measurement and statistical analysis of the deepest feelings, or can be helpful to everyone. Of course, it is not ABC's tutorial, nor detailed data analysis method introduction, it is only "summary" and "experience." Because what I have done is very miscellaneous, I do not learn statistics, mathematics out ...

Methodology of logical regression training model under large data

In today's Society of data inflation, the value of http://www.aliyun.com/zixun/aggregation/13584.html ">" is becoming more and more prominent. How to effectively excavate the effective information in massive data has become a common problem in every field. Based on the actual demand of the Internet enterprises, the technology companies have started to acquire the information contained in the massive data by using the algorithms of machine learning, data mining and artificial intelligence, and have achieved good results. ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

Use machine learning to predict the price of a listing on Airbnb

Recently, Airbnb machine learning infrastructure has been improved, making the cost of deploying new machine learning models into production environments much lower. For example, our ML Infra team built a common feature library that allows users to apply more high-quality, filtered, reusable features to their models.

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...

Data mining and machine learning interview questions

Today, I will share all the questions I encountered during the interview and share how to answer them. Some of these questions are relatively normal and have a certain theoretical background, but some are very innovative.

Machine Learning Algorithm Selection Guide

There are many articles on machine learning algorithms that detail the related algorithms, it is still very difficult to make the most appropriate choices.

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