高温高普数据代码

通过Python扩展ArcGIS应用的资料，附有文档和相关练习，非常适合个层次的人员学习使用。(Extending ArcGIS With Python， Esri China，ArcGIS，Python)

说明：  实现opencv的canny算子及其改进，可以自适应生成阈值，包括了几种阈值处理算法(The Canny operator of OpenCV and its improvement can generate threshold adaptively, including several threshold processing algorithms)

机器学习实战 第四章实例代码 美国 Machine Learning in　Action 4 Charpter instance(Machine Learning in　Action 4 Charpter instance)

说明：  实现日SPEI标准化降水蒸散指数的数据,此程序中蒸发使用彭曼公式计算(the program can be used to calculate the daily SPEI value)

说明：  线性回归算法，可进行机器学习方面的参考学习。(linear regression, machine learning)

abaqus-各个单元分开附材料属性,用于处理材料各个网格单元不同时的情况！(Each element is attached to material properties separately)

说明：  机器学习是计算机科学与人工智能的重要分支领域. 本书作为该领域的入门教材，在内容上尽可能涵盖机器学习基础知识的各方面。 为了使尽可能多的读者通过本书对机器学习有所了解, 作者试图尽可能少地使用数学知识. 然而, 少量的概率、统计、代数、优化、逻辑知识似乎不可避免. 因此, 本书更适合大学三年级以上的理工科本科生和研究生, 以及具有类似背景的对机器学 习感兴趣的人士. 为方便读者, 本书附录给出了一些相关数学基础知识简介。(Machine learning is an important branch of computer science and artificial intelligence. As an introductory textbook in this field, this book covers all aspects of basic knowledge of machine learning as much as possible. In order to make as many readers as possible understand machine learning through this book, the author tries to use mathematical knowledge as little as possible. However, a small amount of probability, statistics, algebra, optimization, logic knowledge seems inevitable. Therefore, this book is more suitable for undergraduates and postgraduates of science and engineering above the third grade of University, And people who are interested in machine learning with similar background. For the convenience of readers, the appendix of this book gives a brief introduction of some basic mathematical knowledge.)

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Grayscale Photocopy Machine

system of pv control for basic with error