ROS robot -- little turtle drawing a circle (C + +)
Reference article:
(4 messages) ROS robot practice - Little Turtle draws a circle_ Poetry and distant blog - CSDN bloghttps://blog.csdn.net/qq_44907912/article/details/105145132 Reference video:
[Gu Yueju] Gu Yue · introduction to ROS 21 lecture | introduction to ROS robot_ Beep beep beep_ bilibilihttps://www.bilibili.com/video/BV1zt41 ...
Posted by gb75 on Fri, 15 Oct 2021 20:01:41 -0700
Titanic survivor prediction
preface
Tip: Here you can add the general contents to be recorded in this article: For example, with the continuous development of artificial intelligence, machine learning technology is becoming more and more important. Many people have started learning machine learning. This paper introduces the basic content of machine learning.
Ti ...
Posted by wildwobby on Fri, 15 Oct 2021 12:02:21 -0700
Machine learning experiment 2: support vector machine
introduce
In this experiment, we will use support vector machine (SVM) and understand its working principle on data.
The data sets used in this experiment include:
ex2data1.mat - linear SVM classification datasetex2data2.mat - Gaussian kernel SVM classification datasetex2data3.mat - cross validation Gaussian kernel SVM classification dat ...
Posted by egturnkey on Fri, 15 Oct 2021 11:55:14 -0700
Chapter 02 PyTorch Basics
This picture and text is the learning notes of Datawhale team learning pytoch. The main contents include the concept of tensor (0-dimensional, 1-dimensional, 2-dimensional, 3-dimensional, 4-dimensional tensor, etc.), the principle of automatic derivation (understanding through dynamic graph), and the understanding of parallelism.
Chapter 0 ...
Posted by Darklink on Fri, 15 Oct 2021 02:05:00 -0700
python numpy Library -- Learning
import numpy as np
Create an empty vector of length 10:
Z = np.zeros(10)
print(Z)
How to find the memory size of any array
Z = np.zeros((10,10))
print("%d bytes" % (Z.size * Z.itemsize))
Create a vector with a range of 10 to 49
# Z = np.arange(10,50)
# print(Z)
Invert a vector (the first element becomes the last)
# Z = np.arange(50) ...
Posted by phpr0ck5 on Thu, 14 Oct 2021 19:10:52 -0700
Points in triangles, circles, rectangles
1, Round
Judge the distance from the point to the center of the circle, and then compare the distance with the radius of the circle. Less than is on the inside of the circle, equal to the edge of the re circle, greater than the outside of the re circle.
bool CScenes::IsPointInCir(CPoint point)//Point is a point from the outside
{
int dis,x,y ...
Posted by shivani.shm on Wed, 13 Oct 2021 22:46:42 -0700
Dealing with data imbalance in multi label classification task -- multi label synthetic minority over sampling technology (mlsmote)
When dealing with classification problems, category imbalance is not only a problem we often encounter, but also a problem that often occurs in actual use scenarios. Category imbalance will bring challenges to the prediction task, and lead to poor prediction effect of a few categories, because the hypothetical scenario of most machine le ...
Posted by jacksonpt on Tue, 12 Oct 2021 19:04:53 -0700
Machine learning -- logistic regression (multivariate classification) programming training
Machine learning -- logistic regression (multivariate classification) programming training
reference material:
1.Mr. Huang haiguang: Wu Enda machine learning notes github
This paper is the first part of the third programming training in Wu Enda's machine learning course.
Programming tasks:
Recognize handwritten digits (0 to 9) using logica ...
Posted by michaelowen on Tue, 12 Oct 2021 14:36:02 -0700
Data mining for disk damage prediction
Data import and preprocessing
The first is to import all packages required for this data mining
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.decompositi ...
Posted by goaman on Mon, 11 Oct 2021 22:14:02 -0700
k-nearest neighbor algorithm for machine learning in real-world combat
1. KNN's Movie Classification
For a new movie, how do you tell if it's a love movie or an action movie? You can tell by the number of kisses or fights. Compare this movie with many already tagged movies, calculate the Euclidean distance between them, sort by distance, and find the shortest k (three below)And then see how many of these k are lo ...
Posted by TurtleDove on Sat, 09 Oct 2021 11:20:47 -0700