In 2020, the “butterfly effect” was triggered in China’s pharmaceutical industry, with the two wings of this butterfly being the introduction of the MAH system and the initiation of centralized procurement. The MAH system is of great significance in encouraging drug innovation and improving drug quality. According to the MAH system, the drug marketing authorization … Read more
Click on the above “Little White Learns Vision” to choose to add “Star Mark” or “Pin” Important content delivered at the first time XGBoost is one of the most commonly used algorithms with relatively high accuracy in various data mining or machine learning competitions (excluding Deep Learning algorithms). In other words, for those who have … Read more
1 Algorithm Introduction XGBoost (eXtreme Gradient Boosting) is an algorithm based on GBDT, which is an ensemble machine learning algorithm based on decision trees, using Gradient Boosting as its framework. In 2016, Tianqi Chen formally proposed the XGBoost algorithm in his paper “XGBoost: A Scalable Tree Boosting System.” This algorithm efficiently implements GBDT and has … Read more
Algorithm Origin In cognitive science, human brain thinking is divided into three basic modes: logical thinking, intuitive thinking, and inspirational thinking. The neural network uses its algorithm characteristics to simulate the second mode of human brain thinking. It is a nonlinear dynamic system characterized by distributed information storage and parallel collaborative processing. Although the structure … Read more
Artificial Intelligence NO.1 Major Analysis Major Code: 080717T Discipline Category: Engineering Study Duration: 4 years Degree Level: Undergraduate (General Education) Degree Title:Bachelor of Engineering Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies, and application systems for simulating, extending, and enhancing human intelligence. AI is a branch of computer … Read more
Originally published by Algorithm Advancement This article studies how data collection, processing, and analysis contribute to Explainable Artificial Intelligence (XAI) from a data-centric perspective. Existing work is categorized into three types, serving to explain deep models, reveal training data insights, and provide domain knowledge insights. It distills data mining operations and DNN behavior descriptors for … Read more
New Media Manager Author Introduction Liú Shūlóng, currently an engineer in the technology department of Daguan Data, with interests primarily in natural language processing and data mining. Word2vec is one of the achievements of the Google research team, and as a mainstream tool for obtaining distributed word vectors, it has a wide range of applications … Read more
1. Introduction to Knowledge Graph A knowledge graph is a large-scale semantic network that provides a semantic representation of the real world. Entities are represented as nodes, while the properties of entities and the relationships between them are represented as edges, forming a web-like graph structure. This structured format is recognizable by humans and machine-friendly, … Read more
This article is the first in a series produced by Big Data Digest and Baidu NLP. Baidu NLP is committed to the mission of “understanding language, possessing intelligence, and changing the world”. It conducts technical research and product applications in areas including natural language processing, machine learning, and data mining, leading the development of artificial … Read more
After the publication of the article “Creating Model Scenes – The Journey to Becoming an Advanced Model Collector”, it received a lot of recognition from model enthusiasts. Creating a “model scene” is a necessary path for advanced collectors and is a topic worth exploring in depth. Therefore, starting today, Monster will use the mining scene … Read more