Original by Machine Heart Authors: Yi Jin, Joni Chuang Participants: Panda Didrik Nielsen’s master’s thesis at the Norwegian University of Science and Technology, “Tree Boosting with XGBoost: Why Does XGBoost Win ‘Every’ Machine Learning Competition?” analyzes the differences between XGBoost and traditional MART and its advantages in machine learning competitions. The technical analysts at Machine … Read more
Before We Begin, The Original Content of Overheaven Must Not Be Plagiarized or Reproduced. If I Find Out, I Will Pursue It to the End! Please Have Some Decorum, Competitors, Don’t Make Me Expose You. This article records my journey over the past year in handling algorithm filing-related business, accompanying and observing the growth and … Read more
1. Artificial Intelligence In 1956, computer scientist John McCarthy proposed the concept of “Artificial Intelligence”, which refers to machines that possess human-like intelligence characteristics when performing tasks, including the ability to organize and understand language, recognize objects and sounds, as well as learn and solve problems. Since the concept of artificial intelligence was proposed, the … Read more
This article is reprinted from the public accountDatawhale Translator:Ahong, Source:dataxon Machine learning is a hot topic, but aside from those who are well-versed in it, very few can explain what it really is. When reading articles about machine learning online, you are likely to encounter two situations: either a heavy academic trilogy filled with various … Read more
Machine learning can be divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), where the training data is usually in … Read more
Introduction With the continuous heat in the AI field, more and more people are starting to self-learn AI. The first challenge of self-learning AI is how to find useful learning resources; there are too many resources online. Some users have shared machine learning resources in QQ groups through screenshots, with resources so abundant that it … Read more
Machine learning is a topic everyone is discussing, but aside from teachers who have a deep understanding, very few can explain what it is clearly. If you read articles about machine learning online, you are likely to encounter two scenarios: dense academic texts filled with various theorems (I can barely handle half a theorem) or … Read more
1. Overview of Machine Learning 1) What is Machine Learning Artificial Intelligence is a new technical science that studies and develops theories, methods, technologies, and application systems for simulating, extending, and enhancing human intelligence. It is a broad and vague concept, with the ultimate goal of artificial intelligence being to enable computers to mimic human … Read more
Click on the above“Visual Learning for Beginners” to selectStar or “Pin” Important content delivered first time. 1. Scene Requirements In the field of computer vision, we often need to perform some special tasks, and line detection algorithms are frequently used in tasks such as lane detection, length measurement, etc. Although line detection tasks seem relatively … Read more
Generative Artificial Intelligence Definition Generative artificial intelligence is a branch of artificial intelligence that involves technologies that generate text, images, sound, video, code, and other content based on algorithms, models, and rules. This technology can generate content with a certain level of logic and coherence by relying on pre-trained multimodal foundation models and using relevant … Read more