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Write in front I finished it the day before yesterday Fuzzy clustering based on transitive closure Today, I'm going to write "genetic algorithm for unconstrained single objective optimization problem". Yesterday, I played with npy all afternoon, went to Qi Baishi art college to see the painting exhibition, watched the sunset at the h ...

1 Introduction stay Part I In, we focus on the network structure of DarkNet53 and the structure of YOLOv3, and explain the corresponding detection head This paper continues the second part of this series, mainly explaining the principle and implementation of YOLO3 model post-processing prediction stage Don't gossip. Let's start directly 😃 2 ...

Welcome to pay attention to me, IT industry, focus on Python!   Time series problem is one of the most difficult problems in data science. Traditional processing methods such as ARIMA and SARIMA are very good, but it is difficult to achieve satisfactory prediction results when dealing with nonlinear or non-stationary time series problems. ...

Learn the "Neural Collaborative Filtering". This paper introduces the use of deep neural network to model user item interaction, proposes NCF framework, and instantiates GMF, MLP and NeuMF. Problems with MF 1. Assuming that all hidden factors are independent of each other, MF can be regarded as a linear model (when doing inner produ ...

Project description The data is tiktok's interaction record from 9-21 to 10-30 days. The year has been processed for special treatment (2067 shows). ·The first column is not marked (such as sequence ID, but it is discontinuous. It is estimated that the data set has been filtered) ·uid: user id ·user_city: user's City &midd ...

Scikit learn is a great python library for implementing machine learning models and statistical modeling. Through it, we can not only realize various machine learning models of regression, classification and clustering, but also provide the functions of dimension reduction, feature selection, feature extraction, integration technology and built ...

Spark Day10: Spark Streaming 01 - [understand] - yesterday's course content review Practical exercise: Taking the background of DMP advertising industry as an example, the processing of advertising click data is divided into two aspects [advertising data ETL conversion and business report development], as follows: [[premise]: use Spar ...

Official account: Special HouseAuthor: PeterEditor: Peter Hello, I'm Peter~ Many readers have asked me: are there any good cases of data analysis and data mining? The answer is, of course, it's all on Kaggle. It's just that you have to spend time studying and even playing games. Peter has no competition experience, but he often goes to Kag ...

Let's see the effect first text Recently, when learning the knowledge of machine learning, I wanted to do something to play, and then I came into contact with TensorFlow, a machine learning framework that encapsulates some common algorithms of machine learning. However, it is still troublesome to implement a set of processes by ourselves. We c ...

Task03 This study refers to Datawhale open source learning: https://github.com/datawhalechina/fantastic-matplotlib The content is generally derived from the original text and adjusted in combination with their own learning ideas. Personal summary: 1. Use plt.subplots and GridSpec to draw uniform and non-uniform subgraphs respectively. Both meth ...