How to deal with missing values in machine learning

How to deal with missing values in machine learning Note: this data is from kaggle, please stamp for details here , original reference connection, please stamp here , this paper is a long one, which aims to introduce some ideas and details in the process of EDA. 1, Introduction The purpose of this EDA(Exploratory Data Analysis) is ...

Posted on Thu, 23 Sep 2021 05:58:16 -0400 by g00bster

BP neural network and its application [neural network iv]

Typical case analysis of BP neural network [example 5-1] 60 groups of gasoline samples were scanned by Fourier near infrared transform spectrometer. The scanning range was 900 ~ 1700nm and the scanning interval was 2nm. The spectral curve of each sample contained 401 wavelength points. At the same time, the octane number content was determined ...

Posted on Thu, 23 Sep 2021 03:35:19 -0400 by northernmonkey

pytorch model container - modular construction of deep learning network

pytorch model container - modular construction of deep learning network pytorch model container summary The model containers provided by pytorch include: nn.Sequential: contains multiple network layers in order nn.ModuleList: contains multiple network layers in the form of a list nn.ModuleDict: contains multiple network layers in the fo ...

Posted on Tue, 21 Sep 2021 21:29:23 -0400 by mattcairns

[NLP]⚠️Learn not to hit me!Half hour learning basic operations 9⚠️ Jingdong Comments Classification

Summary From today on we will start a natural language processing (NLP) journey.Natural language processing enables processing, understanding and use of human language to bridge the gap between machine language and human language. RNN RNN (Recurrent Neural Network), or Circular Neural Network.Compared with CNN, RNN can help us to proce ...

Posted on Tue, 21 Sep 2021 12:03:23 -0400 by tlavelle

[numerical calculation-19]: numerical derivative method of universal arbitrary function

Author home page( Silicon based workshop of slow fire rock sugar): Slow fire rock sugar (Wang Wenbing) blog silicon based workshop of slow fire rock sugar _csdnblog Website of this article: https://blog.csdn.net/HiWangWenBing/article/details/120378620 catalogue Chapter 1 Preface Chapter 2 numerical definition of derivative Chapter 3 numer ...

Posted on Tue, 21 Sep 2021 02:47:55 -0400 by robin

PyTorch pit six data processing modules Dataloader and Dataset

Overview of data processing in deep learning Three elements of deep learning: data, computing power and algorithm In engineering practice, the importance of data has attracted more and more attention. In the data science community, there is a saying that "data determines the upper limit of the model, and algorithm determines the lower lim ...

Posted on Mon, 20 Sep 2021 21:38:27 -0400 by ven.ganeva

Prophet-based pure-time series prediction of high-speed passenger numbers--TOP10 scheme (non-ranking submission scheme)

Prophet-based pure-time series prediction of high-speed passenger numbers--TOP10 (non-ranking submission plan) - Knows Title address: AI Research Society - to study new knowledge of AI industry, University and research, to help AI academic developers grow. Introduction to the competition: Give the passenger flow data of a high-speed rail line ...

Posted on Mon, 20 Sep 2021 17:44:06 -0400 by sir nitr0z

Summary of problems in learning pytorch framework

pytorch framework learning 1: Linear region, Logistic Regression, Softmax Classifier 1. Model inheritance and construction import torch from torch.autograd import Variable # data define(3*1) x_data = Variable(torch.Tensor([[1.0], [2.0], [3.0]])) y_data = Variable(torch.Tensor([[2.0], [4.0], [6.0]])) # model class class Model(torch.nn.Mo ...

Posted on Mon, 20 Sep 2021 10:32:12 -0400 by ozman26

PyThorch natural language processing

Natural language processing (NLP) and Computational Linguistics (CL) are two areas of human language computing research. NLP aims to develop methods to solve practical problems involving language, such as information extraction, automatic speech recognition, machine translation, emotion analysis, question answering and summary.CL uses computat ...

Posted on Mon, 20 Sep 2021 04:07:37 -0400 by Mchl

Practical tutorial | TensorRT deployment depth learning model

Author | ltpyuanshuai @ know Source| https://zhuanlan.zhihu.com/p/84125533 Editing polar market platform This article is for academic sharing only. The copyright belongs to the original author. If there is any infringement, please contact to delete it. Jishi Guide It is very useful for comrades who need to deploy models to master the metho ...

Posted on Sun, 19 Sep 2021 10:16:32 -0400 by curtisdw