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NumPy is not only the most used third-party library in Python, but also the basic library of data science such as SciPy and Pandas. The data structure it provides is "more advanced and efficient" than Python itself. It can be said that the data structure provided by NumPy is the basis of Python data analysis. In NumPy, we need to f ...

Introduction to deep learning - from naive perceptron to neural network Introduction: Notes for getting started with deep learning 1, Naive perceptron 1. Perceptron Receive multiple signals and output one signal. As shown in Figure 2-1, it is a perceptron that accepts two input signals. Figure 2-1 X1 and X2 are input signals, y are o ...

Data driven analysis practice 8 Lifting model When dealing with growth related issues, a very important key factor is efficiency. First, we need to improve time efficiency, which means rapid conception, practice, learning and iteration; The second is the cost, which can make greater profits under the same budget, time and effort. User segmen ...

This chapter records the installation of ROS system: We can learn more about the current mainstream robot framework platform ROS from the videos or books explained by ROS (it is not a real operating system, but a set of environment framework similar to various virtual machines or dockers running on the host. Its main function is to correlate a ...

preface A person can go faster, and a group of people can go further. Exchange and learning plus qq:2096723956 More nanny PX4+ROS learning videos: https://b23.tv/ZeUDKqy Share knowledge and transmit positive energy. Please point out any omissions or mistakes PX4 firmware version: 1.11.3 PX4 separates the mixed controller logic from the ac ...

Note: This article is very long and should be read. Reprinting without permission is strictly prohibited! Please obtain the permission of the author before reprinting Write in front During the holiday, I was doing a service outsourcing competition, which was related to federal learning, so I wrote this blog (Series) to record my learning. ...

Common feature processing strategies: User id and item id must be converted into embedded vectorsThe original text needs to be tokenized and translated into embedded textNumerical characteristics need to be standardized By using TensorFlow, we can treat this preprocessing as part of the model rather than a separate preprocessing step. This is ...

Characteristic Engineering 1. Definitions 1.1 why feature engineering is needed The features in the sample data may have missing values, duplicate values, abnormal values, etc., so the relevant noise data in the features need to be processed Processing purpose: there is a purer sample set, so that the model can have better prediction abil ...

tips Because now there are many mature SVM software or packages to minimize the cost function to solve the parameter values. They are written by experts in the field of machine learning and use many advanced optimization and implementation skills. They are far from being comparable to the solutions I write now. Is it not fragrant? After u ...

preface As one of the nine malignant tumors in primary school, the chicken rabbit cage problem is estimated to be difficult for many people before learning the binary first-order equation. From the perspective of programmers, there are many solutions to the chicken rabbit cage problem, the most common of which are exhaustive method, formula me ...