CodingGo Technical Community A Free Programming Learning Platform Algorithm Introduction KNN (K-Nearest Neighbors) is a simple machine learning algorithm that does not require learning any parameters and can be used for both classification and regression problems. The intuitive explanation of this algorithm is ‘Birds of a feather flock together.’ When a new sample is input, … Read more
Table of Contents 1. Principles of KNN Algorithm 2. Three Elements of KNN Algorithm 3. Brute Force Implementation of KNN Algorithm 4. KD-Tree Implementation of KNN Algorithm 5. Imbalance in Training Samples for KNN Algorithm 6. Advantages and Disadvantages of the Algorithm 1. Principles of KNN Algorithm The KNN algorithm selects the k nearest training … Read more
Python Tribe (python.freelycode.com) organized the translation, welcome to forward, prohibited from reprinting The k-Nearest Neighbors algorithm (KNN) is based on a simple logic that is easy to understand and implement, making it a powerful tool you can use. By learning this tutorial, you will be able to implement a KNN algorithm from scratch in Python. … Read more
Li Zi from Ao Fei Si Quantum Bit | WeChat Official Account QbitAI Word2Vec is a language tool open-sourced by Google in 2013. A two-layer network can turn words into vectors, which is crucial in the NLP field and the foundation for many functionalities. However, now a programmer named bollu (short for Pineapple) loudly tells … Read more
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
This article is a part of Chapter 10 of the book “Introduction to Machine Learning Basics” (by Huang Haiguang). XGBoost Algorithm XGBoost is a machine learning algorithm based on the Gradient Boosting Decision Tree (GBDT) invented in February 2014 by PhD student Chen Tianqi from the University of Washington. This algorithm not only has excellent … Read more
– What is the basis for tree node splitting in XGBoost? – How is the weight of tree nodes calculated? – What improvements has XGBoost made to prevent overfitting? Those reading this article are likely familiar with XGBoost. Indeed, XGBoost is not only a powerful tool in major data science competitions but is also widely … Read more
This article is excerpted from “Introduction to Machine Learning Basics (Micro Course Version)” 10.5 XGBoost Algorithm XGBoost is a machine learning algorithm based on the gradient boosting algorithm (GBDT) invented by PhD student Tianqi Chen from the University of Washington in February 2014. This algorithm not only has excellent learning performance but also trains efficiently, … Read more
Computer deep learning systems based on artificial neural network algorithms have become a cutting-edge focus in the field of computer research. The principle is to enable artificial neural network algorithms to learn like the human brain through practice. In addition to being used for facial and voice recognition, it can also search through vast amounts … Read more