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User comment text mining Learning objectives Know the role of comment text miningMaster the use of nltk and gensim for basic NLP processing 1, Introduction to comment text mining Text mining is to mine the content we are interested in from text informationWhy should data analysts focus on text data In our daily product and operation work ...

1, Introduction to DTW Dynamic Time Warping (DTW) has a certain history (proposed by Itakura, a Japanese scholar). Its purpose is also relatively simple. It is a method to measure the similarity of two time series with different lengths. It is also widely used, mainly in template matching, such as isolated word speech recognition (recognizing ...

Without data but with expert knowledge, knowledge can also be transformed into computer-aided model. Data is the basis of the model, but without data, only domain experts can well describe or even predict the "situation" of a given environment. I will summarize the concept of knowledge driven model based on Bayesian probability, and ...

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 ...

❤️ This article is included in Learning python from actual combat Column, using python to realize practical cases in various directions such as crawler, office automation, data visualization and artificial intelligence, which is interesting and useful! ❤️ ⭐Click here to skip to the end Get source code and fan benefits Life has expectat ...

Deep learning      Machine learning based on neural network algorithm      Deep learning algorithm:          BP neural network          Convolutional neural network          Cyclic neural network      &n ...

Hello, everyone, I'm in early winter. I've always wanted to study artificial intelligence, but I've been waiting. In the last issue, I wrote a front-end image processing script. I wanted to strike while the iron was hot, so I worked hard and had the idea of changing the front-end face. Then write a DEMO of changing the face, so there is the DEM ...

When is data conversion required and possible      Pre training conversion         -> Suitable for static model: that is, the model will not change with the change of user data          Advantages:              The transf ...

AItrainer Dumbbell-lifting detection and automatic counting based on Paddlehub Introduction to PaddleHub Using Paddlehub, it is easy to obtain pre-training model under PaddlePaddle ecology, complete model management and one-click prediction. With Fine-tune API, migration learning can be quickly completed based on large-scale pre-training mod ...

Introduction to XGBoost XGBoost is a software package that allows users to easily solve classification, regression or sorting problems. It internally implements the order lifting tree (GBDT) model. Advantages: simple and easy to use, fast speed and good effect in processing large-scale data sets. Compared with the deep learning model, it ...