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1, Genetic algorithm An optimal solution search algorithm is designed based on the concept of species genetics in nature. Genetic algorithm takes all individuals in a species as objects, and uses randomization technology to search an encoded parameter space efficiently. Among them, selection, crossover and mutation constitute the genetic ...

catalogue 1, Naive Bayesian concept 1.1 conditional probability 1.2 full probability formula 1.3 Bayesian inference   2, Simple application examples of Bayesian classifier 3, Spam filtering using naive Bayes   3.1 cut the text into vectors, store them in the list, and classify and label the vocabulary vectors 3.2. Create a v ...

reference resources: Finally write the summary of XGBoost! XGBoost of machine learning algorithm and its automatic parameter adjustment reference resources: How does xgboost handle missing values [fundamentals of machine learning] comparison and parameter adjustment of XGBoost, LightGBM and CatBoost algorithms introduce In 2016, an extensibl ...

catalogue Import dataMissing and outlier handlingFeature visualizationfeature selection model trainingModel evaluationModel result transfer scoreCalculate user total score 1, Import data Reply to key words in official account python wind control model: learning materials #Import module import pandas as pd import numpy as np from scipy impo ...

Abstract: This paper mainly realizes a case of classification learning through Keras, and introduces MNIST handwriting recognition data set in detail. This article is shared from Huawei cloud community< [Python artificial intelligence] XVII. Case study of Keras building classification neural network and MNIST digital image >, by eastmo ...

Original link: http://tecdat.cn/?p=19936 Original source: Tuo end data tribal official accountIn this tutorial, you will learn how to create a neural network model in R.Neural network (or artificial neural network) has the ability to learn through samples. Artificial neural network is an information processing model inspired by biological neuro ...

Broadcasting and scientific operation of 03 tensor 1, Broadcast properties of tensors Tensors have the same broadcast characteristics as Numpy, that is, tensors of different shapes are allowed to operate 1. Tensor calculation of the same shape In fact, the broadcast property is also used in the operation between tensors with the same shape ...

Introduction to basic concepts Artificial intelligence: simple understanding is to make machines have human thinking and consciousness Three schools of artificial intelligence: Behaviorism: constructing perception control system based on CyberneticsSymbolism: Based on arithmetic logic expression, to solve a problem, first describe the pro ...

[source code analysis] how PyTorch uses GPU catalogue[source code analysis] how PyTorch uses GPU0x00 summary0x01 problem0x02 move model to GPU2.1 cuda operation2.2 Module2.3 movement2.3.1 example2.3.2 operation2.3.3 _apply method2.4 summary0x03 calling function on GPU3.1 CUDA Programming Model Foundation3.1.1 heterogeneous model3.1.2 parallel t ...

Single layer perceptron Biological neuron The structure of nerve cells can be roughly divided into dendrites, synapses, cell bodies and axons. A single nerve cell can be regarded as a machine with only two states - yes when excited and no when not excited. The state of nerve cells depends on the amount of input signals received from other ner ...