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machine learning 方面有关于Classification fundamentals的资料，语言是python(Classification fundamentals aspects of machine learning have information about language is python)

说明：  制作对象数据集，有利于卷积神经网络的实现(Making object data set is beneficial to the realization of convolutional neural network)

python3 以及python2的 中文帮助文档(python3 Chinese help document)

使用谷歌或Bing API子域找到指定域的子域(subdomain dork uses google or Bing API to find subdomains of a specified domain )

程序 singkat kalulator 帖 operasi tambah，kurang，卡莉，bagi。

说明：  本书由Keras之父、现任Google A工智能研究员的弗朗索瓦?肖莱（Frangois Chollet）执笔，详尽介 绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须 具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立 图像识别模型、生成图像和文字等能力(This book is written by Frangois Chollet, the father of keras and the current researcher of Google a intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, and the steps are detailed and thorough. Because this book is based on the accessibility and popularization of artificial intelligence, readers can read it without having the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters)

基于深度学习的人脸识别程序 基于深度学习的人脸识别程序 基于深度学习的人脸识别程序 基于深度学习的人脸识别程序 基于深度学习的人脸识别程序 基于深度学习的人脸识别程序 基于深度学习的人脸识别程序

说明：  机器学习课件,在进行学习的过程中可以用来做参考(PPT MACHINE LEARNING)

进行GPS数据的出行划分代码，得到GPS车辆数据的起讫点(Travel division code for GPS data)

熵权法根据各指标的变异程度，利用信息熵计算出各指标的熵权，再通过熵权对各指标的权重进行修正，从而得出较为客观的指标权重。(According to the variation degree of each index, the entropy weight of each index is calculated by using information entropy, and then the weight of each index is revised by the entropy weight, thus objectively obtaining the weight of each index.)