In this article, based on the stock price time series data of 20 companies, we will look at four different ways to classify these companies according to the correlation between their stock prices. Apple (AAPL), Amazon (AMZN), Facebook (META), Tesla (TSLA), Alphabet (Google) (GOOGL), Shell (SHEL), Suncor Energy (SU), ExxonMobil (XOM), Lululemon (LULU), Walmart (WMT), … 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
Click on "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered immediately Editor’s Recommendation A simple summary is whether it is supervised (supervised) or not, which depends on whether the input data has labels (label). If the input data has labels, it is supervised learning; if there are no labels, it is unsupervised … 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
Click on 'Xiao Bai Learns Vision' above, select 'Star' or 'Top' 1. Model Iteration Methods In practical applications of machine learning models, the model is usually iterated based on newly added data. Common model iteration methods include the following: 1. Retrain a model using the full dataset by directly merging historical training data with the … Read more
Source: CloudB Computational Thinking and Beauty This article is about 2200 words long and is recommended for a 7-minute read. How can "humans" do what they excel at and leave the rest to machines. [ Introduction ]Machine learning has been leading the development of artificial intelligence since the 1980s. Its significant contribution to AI is … 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
1Training OverviewThis course aims to enable participants to master the application of Python in the field of scientific research through comprehensive and systematic learning, especially how to leverage artificial intelligence technologies to promote research progress. The course content covers everything from basic Python programming to advanced machine learning and deep learning algorithms, gradually guiding students … Read more
ID: Hazelnut Public Account: Python and Algorithm Community We often encounter the problem of where to download data. You must have struggled to find the data you want, as I often spend considerable effort looking for data. Recently, I specifically searched for it, and the following links can all be opened normally. 1. Agriculture Related … Read more
Source:Big Data DT (ID:bigdatadt)Authors:Li Mingjiang, Zhang Liangjun, Zhou Dongping, Zhang ShangjiaContent excerpted from “Python 3 Quick Start to Intelligent Data Analysis”This article is about5200 words, suggested reading time10 minutes. This article summarizes commonly used Python libraries. [ Guide ]Python, as a well-designed programming language, is now widely used in various fields. With its powerful third-party … Read more