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Ex6_ Machine learning_ Wu Enda course assignment (Python): SVM Support Vector Machines instructions: This article is about Mr. Wu Enda's learning notes of the machine learning course on Coursera. The first part of this paper first introduces the knowledge review and key notes of the corresponding week of the course, as well as the i ...

Source GitHub address The torchvision module in PyTorch framework includes: torchvision datasets,torchvision.models,torchvision. The three sub packages of transforms. For details, please refer to the official website: http://pytorch.org/docs/master/torchvision/index.html. Refer to github for specific code: https://github.com/pytorch/vision/tr ...

1. auc meaning AUC (Area under curve) is a commonly used two classification evaluation method for machine learning. It directly means the area under the ROC curve, as shown in the following figure   The column in the table represents the forecast classification, and the row represents the actual classification:Actual 1, forecast 1: real ...

Conda environment construction Download and install Download from official website Tsinghua source image download New environment conda create -n rl python=3.8 Activate environment conda activate rl Install software The IDE recommends installing Jupyter Lab or pycham Execute the following command to install and run jupyter lab in rl environ ...

Dataset used: link: https://pan.baidu.com/s/1OLQE7mpefXGRpADyVEkpVQ Extraction code: 7x5c 1, History of matrix decomposition 1.1 Traditional SVD In general, SVD matrix decomposition refers to SVD (singular value) decomposition technology. Here, we name it Traditional SVD (traditional and classic), and its formula is as follows: The form of Tra ...

preface K-nearest neighbor (k-NN) is a basic classification and regression method. It is one of the simplest algorithms in data mining technology. Its core function is to solve the supervised classification problem. KNN can quickly and efficiently solve the prediction classification problem based on special data sets, but it does not produce ...

Deep learning and pytorch Foundation Machine learning is a means to realize artificial intelligence. Its purpose is to enable programs to use past experience to learn independently and optimize answers Deep learning is a specific method to realize machine learning Model classification of machine learning A specific problem can be ...

1, Recommended model construction process Data - > features - > ML algorithm - > prediction output 1.1 data cleaning / data processing data sources Dominant data Rating Comments / comments Invisible data Order history Cart events plus shopping cart Page views page browsing Click thru Click Search log search record Data volume ...

In the article Introduction to PyTorch deep learning practice notes 9-SoftMax classifier Mr. Liu gave an after-school exercise and downloaded kaggle's Otto dataset Do more classification. 0 Overview Let's take a look at the background of the official website. The Otto Group is one of the world's biggest e-commerce companies, with subsidiar ...

Too long to see: Click here View the complete code. Last We use boardgame io + wgo. JS + react made a simple Gobang game and used the engine to match our AI. However, AI is very weak. Let's try to transform it in the direction of AlphaGo and create our own AI. Monte Carlo We know that AlphaGo uses Monte Carlo search and neural network. Thro ...