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1, Classification prediction based on logistic regression 1 Introduction and application of logistic regression 1.1 introduction to logistic regression Although Logistic regression (LR) has the word "regression", it is actually a classification model and is widely used in various fields. Although deep learning is more popular t ...

Handwritten Number Recognition, Machine Learning "Classification" Learning Notes - From Geron's "Machine Learning Practice" "hello word" in the field of image recognition MNIST Get MNIST code, 70,000 handwritten digital pictures - - 28x28 pixels 0-255 black and white pixels Scitkit-Learn loaded datasets are ...

preface Tip: Here you can add the general contents to be recorded in this article: Summary of new features of ES6. 1.let and const let represents a declared variable and const represents a declared constant. Constants cannot be changed once they are defined. Object, because the address pointed to by the object has not changed.const must b ...

1. Introduction to algorithm Particle swarm optimization The idea of is derived from the study of bird predation behavior, which simulates the flight and foraging behavior of bird clusters, and makes the group achieve the optimal purpose through collective cooperation. Imagine a scenario where a group of birds are randomly searching for food. ...

[source code analysis] PyTorch distributed optimizer (1) -- Cornerstone 0x00 summary Let's look at the distributed optimizer in a few articles. This series is divided into three articles: the cornerstone, the data parallel optimizer in DP/DDP/Horovod, and the PyTorch distributed optimizer, which are progressive in depth. This article is ...

[source code analysis] PyTtorch distributed Autograd (6) -- engine (Part 2) 0x00 summary Above, we introduced how the engine obtains the dependencies of the backward calculation graph. In this paper, we will then look at how the engine propagates backward according to these dependencies. Through the study of this article, you can: To understa ...

Week Summary 1. Verilog Learning Verilog Verilog, commonly referred to as Verilog HDL, is one of the hardware description languages for digital logic design and the other is generally considered to be VHDL. Verilog can simulate, validate, analyze and synthesize digital logic. It has functions of describing circuit connection, circuit functio ...

Random forest algorithm and ensemble learning - panden's Machine Learning notes The book continues, Classic decision trees CART, ID3 and C4.5 , we build a tree to solve the problems of classification and fitting, but the disadvantage of a tree is also obvious, that is, it is easy to over fit; Besides, even if a tree is strong, it can't be ...

Set up front desk system Static resources new project -> Static Web- Static Web Save project to hm49 \ code \ Leyou portal Unzip the Leyou portal file of the course Copy directly to new project live-server Without webpack, we can't run this project using webpack dev server to achieve hot deployment. Not a single page Therefore, here we u ...

Machine learning experiment 6 report of Shandong University Experimental hours: 4 experimental date: November 29, 2021 Experiment 6: k-means Experimental purpose In this exercise, you will use K-means to compress an image by reducing the number of colors it contains Use K-means to compress the image by reducing the number of c ...