• ## R language uses Rasch model to analyze students’ ability to answer questions

Time：2022-11-29

Full text link:http://tecdat.cn/?p=10175 Original source:Tuoduan Data Tribal Official Account For several months I have been interested in the relationship between ordinal regression and Item Response Theory (IRT). In this post, I focus on Rasch analysis. Recently, I’ve spent some time trying to understand different estimation methods. The three most common estimation methods are: Joint Maximum […]

• ## R language parameter self-sampling method Bootstrap: estimated MSE, empirical power, Jack knife Jackknife, non-parametric self-sampling method visualization

Time：2022-11-28

Full text link:http://tecdat.cn/?p=27695  Parameter Bootstrap: Estimating the MSE Statistical question: What is the MSE of the level (k\) trimmed mean? How we answer it: Estimate the MSE of the level $$k$$ trimmed means for a random sample of size 20 generated from a standard Cauchy distribution (t-distribution w/df = 1). The target parameter $$\theta$$ is […]

• ## The overall office has dropped by 50%, what will happen if you choose local rendering?

Time：2022-11-27

Although cloud rendering is not new, many design studios and companies still don’t know much about it. To become an “upstart” in the design industry, cloud rendering naturally has its unique advantages. If you or your company have rendering needs, it is worth your in-depth understanding. 1. What is cloud and how to render? “Cloud” […]

• ## Graphical Big Data | Spark GraphFrames-Graph-Based Data Analysis and Mining

Time：2022-11-26

author:Han [email protected] address：http://www.showmeai.tech/tutorials/84Address of this article：http://www.showmeai.tech/article-detail/182Disclaimer: All rights reserved, please contact the platform and the author for reprinting and indicate the source 1. Introduction to GraphFrames Databricks, UC Berkeley and MIT jointly developed a graph processing library for Apache Spark called GraphFrames. This class library is built on top of DataFrame, which can not only […]

• ## Eviews uses the vector autoregressive model VAR empirical analysis of highway traffic mileage and economic development GDP co-integration relationship time series data and impulse response visualization

Time：2022-11-26

Full text link:http://tecdat.cn/?p=27784 Heyuan City is a prefecture-level city approved by the State Council on January 7, 1988. In order to study the relationship between highway traffic and economic development in Heyuan City, this paper selects the GDP of Heyuan City in the 24 years since its establishment from 1988 to 2014 ( GDP) and […]

• ## What is cloud rendering? How fast is it rendering? I will tell you

Time：2022-11-25

Rendering is a very important step in making renderings. It takes a lot of time to render a high-quality rendering. Generally, it takes 2-8 hours to render a panorama. If you use your own computer to render During this period of time, you can no longer use this computer to do other things, and the […]

• ## Data intelligence service provider Daily Interactive (personal push) appeared at the 5th Digital China Construction Summit

Time：2022-11-24

On July 22, the Fifth Digital China Construction Summit was grandly held in Fuzhou. The theme of this summit is “Innovation drives new changes and digital leads new pattern”. host. Data intelligence listed company Daily Interactive (personal push) made a big debut at the summit and achievement exhibition. At the conference site, the daily interactive […]

• ## SPSS uses KMeans, two-stage clustering, and RFM models to study the behavioral data of borrowers and payers in P2P network finance

Time：2022-11-23

Full text link:http://tecdat.cn/?p=27831  With the surge in transaction volume of P2P network financial platforms, its transaction data cannot be fully and effectively utilized. Introduce cluster analysis into the management of P2P network financial platform, use cluster analysis technology to analyze the existing data of P2P network financial platform, and then provide services for borrowers, payers […]

• ## Training Embedding Representations for Large Classes Using Triple Loss and Siamese Neural Networks

Time：2022-11-22

The large number of category catalogs on large websites generally cannot be manually tagged, so understanding the content of large catalogs is a major challenge for online businesses, and this makes it very difficult for new product discovery, but this problem can be Solved by using a self-supervised neural network model. In the past, we […]

• ## How to call kettle job with job plugin type by ETL scheduling tool TASKCTL?

Time：2022-11-21

There are two ways to schedule Kettle Job jobs in TASKCTL: Native kitchen commands (supported by default). Soap plug-in method (need to install additional plug-ins). What is the job (what) Main attribute xml tag:.kjbjob: Indicates that it is a kettle job type.name: job name, cannot be repeated in a container (process or timer).progname: The full […]

• ## Inverse transformation sampling to standardize data and transform R language structure: BOX-COX, convex rule transformation method

Time：2022-11-20

Full text link:http://tecdat.cn/?p=22251   Normalizing data is a common task in data science. Sometimes it allows us to speed up gradient descent orImprove model accuracy, and in some cases it’s absolutely critical. Some normalization techniques like taking the logarithm may work in most cases, but in this case I decided to try toAny data is […]

• ## Interview with Le Caesars CTO Zodiac: Look at the technical road behind a box of pizza

Time：2022-11-20

quote When a box of hot pizza is served in front of you, have you ever thought about the intriguing technical story behind it? How a ‘digital’ pizza was born How does a catering company achieve complete self-development of the core system? With these questions in mind, the TVP Technology Pointer column interviewed Lekaiser CTO […]