Data Analysis

Application Research of Intelligent Maintenance Systems in Subway Vehicle Maintenance

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Application Research of Intelligent Maintenance Systems in Subway Vehicle Maintenance

The intelligent maintenance system can fully meet the maintenance needs of subway vehicles and can achieve comprehensive information management in subway management. It utilizes real-time monitoring of subway information and forms information resource sharing with the intelligent maintenance system, ensuring that subway vehicles can improve work efficiency in various management tasks and streamline information flow. … Read more

Say Goodbye to Vlookup: Introducing GETPIVOTDATA Function!

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Say Goodbye to Vlookup: Introducing GETPIVOTDATA Function!

Click to follow the accounting master, and master accounting practices! The most commonly used lookup function in Excel is the Vlookup function. If you encounter more complex situations, you can use the Lookup function, but there is one case where both of these functions can only stand by, which is the lookup in a Pivot … Read more

Master User Tracking with Cursor in Just Two Hours

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Master User Tracking with Cursor in Just Two Hours

“Your Majesty, I am really confused! This user behavior tracking system has been giving me a headache, and I have been stuck for days without a solution…” “Oh? Is my beloved encountering difficulties? Let me take a look.” “Yes! I need to track user actions such as clicks and scrolls on the page, and also … Read more

K-Nearest Neighbors (KNN) Model Operations and Evaluation with ROC Curve and Confusion Matrix

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K-Nearest Neighbors (KNN) Model Operations and Evaluation with ROC Curve and Confusion Matrix

K-Nearest Neighbors (KNN) The K-Nearest Neighbors (KNN) model is a simple and effective machine learning algorithm mainly used for classification and regression tasks. The basic idea of KNN is that the class or value of a sample depends on the classes or values of its k nearest neighbors. Specifically, KNN predicts the class or value … Read more

Hands-On Machine Learning with KNN Algorithm

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Hands-On Machine Learning with KNN Algorithm

This series of tutorials serves as notes for the book “Hands-On Machine Learning.” First, let’s discuss the reasons for writing this series: First, the code in “Hands-On Machine Learning” is written in Python 2, and some of the code will throw errors when run on Python 3. This tutorial revises the code based on Python … Read more

Improving Matchmaking Effectiveness with KNN Algorithm

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Improving Matchmaking Effectiveness with KNN Algorithm

KNN Practical Application – Improving Matchmaking Effectiveness Introduction In simple terms, the KNN algorithm classifies data by measuring the distances between different feature values. The working principle is that there exists a sample dataset, namely the training dataset, and each sample in the dataset has a label, which indicates the correspondence between each data point … Read more

The Clash Between Technology and Translation: How Far Are We From Machine Translation?

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The Clash Between Technology and Translation: How Far Are We From Machine Translation?

Produced by Big Data Digest Author: Liu Junhuan As a very important application in natural language processing, the modern concept of machine translation has evolved since it was proposed in the 1940s, undergoing several generations of innovation, and has now begun to be implemented in various scenarios. In recent years, with the improvement in machine … Read more

Knowledge Graph Practical Training

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Knowledge Graph Practical Training

The knowledge graph is a very popular technology recently, integrating web crawling, natural language processing, machine learning, deep learning, graph databases, complex network analysis, and many other hot technologies into one. The technology density is high, making it a product that companies are very interested in, such as constructing semantic search, Q&A platforms, and intelligent … Read more

Knowledge Graphs for E-Commerce: Understanding User Needs

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Knowledge Graphs for E-Commerce: Understanding User Needs

AliMe Guide: This article explains the construction of knowledge graphs in the e-commerce domain from the perspective of demand analysis and systematic building, detailing the entire conceptual system formed during the process. It also emphasizes the significant efforts made by algorithm, engineering, product, operation, and outsourcing teams to gradually refine the platform architecture and review … Read more

Distinguishing Real Financial Time Series From Synthetic

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Distinguishing Real Financial Time Series From Synthetic

Star★TopPublic Account I love you all♥ Author: Matthew Translated by: Fang’s Mantou 0 Introduction Today, the public account will introduce to everyone,distinguishing real financial time series from synthetic time series. The data is anonymous, and we do not know which time series comes from which asset. In the end, we achieved a 67% in-sample testing … Read more