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The column series is as follows: 1: Tixiao Shan's latest masterpiece lvi-sam (LIO Sam + vins mono), SLAM framework based on vision laser inertial navigation odometer, environment construction and running process_ goldqiu's blog - CSDN blog II A-LOAM framework for laser SLAM framework learning -- Introduction and demonstration_ goldqiu's blog ...

Category: General contents of TensorFlow2 function in simple terms Function: padded_batch(batch_size, padded_shapes=None, padding_values=None, drop_remainder=False,name=None) This function can merge the continuous elements of the dataset into the padded batch. Merge multiple consecutive elements of the input dataset into a single element. ...

1, Basic concepts You can summarize the basic concepts of DBSCAN with 1, 2, 3 and 4. One core idea: Based on density Intuitively, DBSCAN algorithm can find all dense regions of sample points and treat these dense regions as clustering clusters one by one. Two algorithm parameters: neighborhood radius R and minimum number of points min ...

genetic algorithm Intelligent optimization algorithm Several concepts: Population: a group of many individuals Individual (chromosome): equivalent to a solution of the optimization problem to be solved Genes: components of each solution Several operators: Selection: select better individuals from the current population to give them the opp ...

I. Basic Concept of dimensionality reduction For the high-dimensional data in the actual analysis process, data dimensionality reduction processing is required before specific data analysis and feature modeling. Dimensionality reduction refers to selecting K (k < n) from the N features of the original data for data representation by some ...

PySpark Feature Tool 1. Data preparation We define some test data to verify the effectiveness of the function; At the same time, for most beginners, if they understand what the input and output of the function are, they can better understand the characteristic function and use characteristics: df = spark.createDataFrame([ ('zhu', "Hi I h ...

dichotomy The dichotomy is a simple and effective numerical iteration algorithm for an interval [ a , b ] \left[a,b\right] The continuous function fx on [a,b], if it sat ...

KMeans divides the characteristic matrix X of a set of N samples into K clusters without intersection. Centroid: the mean value of all data in the cluster Process: 1 K samples are randomly selected as the initial centroid to start the iteration            2. Each sample point is assigned to the nearest cluster c ...

2021 iFLYTEK - vehicle loan default prediction challenge Top1 - scheme learningbrief introductionThe purpose of auto loan default prediction is to establish a risk identification model to predict the borrowers who may default. The prediction result is whether the borrower may default, which belongs to the second category.In the competition of p ...

Random Forest (RF) is a simple and easy-to-use machine learning algorithm. Even without super parameter adjustment, the Random Forest can still obtain good results in most cases. It can be used for classification tasks and regression tasks. It is one of the commonly used machine learning algorithms. 1, Random forest principle 1. Basic thought ...