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Tip: here is a hard Ken 📕 If Xiaobai makes a mistake, change it. Don't spray it:) preface The sky can be mended, the sea can be filled, the mountains can be moved, the sun and the moon are past, and can not be pursued again. Decision Tree is based on tree structure to make decisions. (classification, regression) A decision tree contai ...

CTC introduction This article does not introduce the background and specific application of CTC. The basic knowledge of CTC can be understood through the following articles: Hannun Awni classic blog. General idea Initially, we get an input matrix. Its rows represent time steps with a length of T, and its columns represent the probabiliti ...

Original link: http://tecdat.cn/?p=24761 This document uses some exploratory data analysis to develop the rating curve and flow prediction of the river. The purpose is to create and update rating curves using (1) instantaneous flow measured during periodic deployment of bottom mounted units and (2) instantaneous depth measurements from water le ...

Refer to the original website[ https://github.com/pytorch/fairseq/blob/master/examples/bart/README.summarization.md ] Pre Training Model Download: Download the pre trained model Bart base. tar: [ https://dl.fbaipublicfiles.com/fairseq/models/bart.base.tar.gz ] Dataset Download: Download CNN/DM: http://cs.nyu.edu/~kcho/DMQA / (download sto ...

Note: This is a machine learning practical project (with data + code). If you need data + complete code, you can get it directly at the end of the article. 1. Demand analysis In the environment of intensive introduction of a series of national policies and driven by strong demand in the domestic market, China's domestic gas stove indu ...

Original text: GBDT+LR CTR estimation - Kaggle example [with data set] - brief book Recently, I read an article on implementing the recommendation system with GBDT+LR and prepared to practice it, but all the articles on this method did not put the data set, so I sorted out my ideas from the beginning and found the data set of Kaggle's last c ...

This article will summarize some tensor operations commonly used by Pytorch and explain their functions, and then use these operations to realize the algorithms of normalization operations, such as BN,GN,LN,IN, etc! Common tensor operations cat When the data is spliced along a certain dimension, the total dimension after cat remains unchange ...

Last TVM's "hello world" basic process I Based on a basic case, this paper introduces the definition of calculation and the construction of schedule in TVM. This article follows the case in the previous article and continues to introduce the next key part, which is compilation. With the previously built schedule, you need to compile ...

Graph structure can be seen everywhere in the real world. Roads, social networks and molecular structures can be represented by graphs. Graph is one of the most important data structures we have.There are many resources today that can teach us everything we need to apply machine learning to such data.There have been many theories and materials ...

Introduction to logistic regression logistic regression is a generalized linear regression analysis model. Taking the condition analysis of gastric cancer as an example, two groups of people are selected, one is gastric cancer group and the other is non gastric cancer group. The two groups must have different signs and lifestyles. Therefore ...