Programming VIP

As data scientists or machine learning practitioners, integrating interpretability into machine learning models can help decision makers and other stakeholders have more visibility and understand the interpretation of model output decisions.In this article, I will introduce two models, life and shake, which can help understand the decision-maki ...

1, Introduction to ant colony algorithm 1 Overview An algorithm designed to simulate ant foraging behavior (shortest path principle). The foraging characteristics of ant groups are abstracted and transformed into mathematical description. • ant colony algorithm (ACA) was first proposed by Marco Dorigo in his doctoral thesis in 1992. &bu ...

Introduction to Numpy array All functions in Numpy are based on the N-dimensional array data structure ndarray. ndarray is a collection of data of the same type. The index of elements starts with the subscript 0. Unlike python's List, each element in ndarray has an area of the same storage size in memory. Numpy supports different data ty ...

2.4 data consolidation 2.4. 1 load all the data in the data folder and observe the relationship between them compared with the previous original data text_left_up = pd.read_csv("data/train-left-up.csv") text_left_down = pd.read_csv("data/train-left-down.csv") text_right_up = pd.read_csv("data/train-right-up.csv") text_right_down = pd.read_csv ...

Generating time series synthetic data with random walk Random walk is a random process. They consist of many steps in mathematical space. The most common random walk starts with a value of 0, and then each step adds or subtracts 1 with equal probability. Random walk can be used to generate synthetic data for different machine learning applica ...

1, Training environment darknet compiled under Windows 10 Compilation process: https://blog.csdn.net/weixin_54603153/article/details/119980266?spm=1001.2014.3001.5501) Source address: https://github.com/AlexeyAB/darknet 2, Make your own dataset 1. First, create a folder for the dataset under the Darknet master folder Annotations tag x ...

The following article will teach you to build a simple stock public opinion analysis system, in which you will first crawl the news of the specified stock over a period of time through the financial website, and then use Baidu emotion analysis interface to evaluate the proportion of positive and negative news of the specified stock, so as to de ...

First, let me make an advertisement~ If you need more artificial intelligence courses (source code + Notes + courseware), please scan the QR code to get it The following is the text In order to facilitate the exchange of fans, a Q group was established: [809160367,] let's learn and exchange together, including courseware materials, source ...

preface I've been reading Dr. Li Hang's "statistical learning methods" recently. I'll make a small record here and write down my understanding. I welcome your criticism and correction. text Intuitive understanding of perceptron Perceptron should be the simplest algorithm among machine learning algorithms. Its principle can be seen i ...

Frequency school and Bayesian school Speaking of probability and statistics, we have to mention frequency school and Bayesian school, two different probability schools evolved through different understanding of probability. Frequency school Core idea: the parameter to be obtained is a certain value. Although it is unknown, it will not chang ...