python中实现点云数据的读取、转换、显示

本书主要针对想提高机器学习技能的 Python 开发人员，帮助他们解决某一特定的项目或是提升相关的技能。(This book focuses on Python developers who want to improve machine learning skills to help them solve a particular project or improve their skills.)

这两篇文章为传感器优化配置方面的资料，个人觉得比较有用，希望可以帮到需要的人(These two articles provide information on the optimal configuration of the sensor)

基于LIDC数据集的肺结节检测算法，用于识别肺部ct图像中的肺结节(Pulmonary Nodule Detection Based on LIDC Data Set)

该压缩文件是《深度学习之Tensorflow的入门、原理及进阶实战》，里面讲述了如何搭建TensorFlow环境，并讲述了深度学习的一些理论基础知识，而且通过例子进行辅助，能更好的理解掌握。(The compressed file is "Introduction, Principle and Advanced Combat of Tensorflow for Deep Learning", which describes how to set up the TensorFlow environment, and describes some theoretical basic knowledge of deep learning, and assists with examples to better understand .)

基于python的svm分类学习。线性可分svm，非线性svm。 对花卉（花蕾）进行分类，并可视化(SVM classification learning based on Python)

说明：  三维voronoi多面体混凝土土骨料网格划分(Mesh generation of 3D Voronoi polyhedral concrete soil aggregate)

说明：  EXAMPLE OF PSSE simulations and python scripting (IEEE 14 SYSTEM)

使用深度学习算法ANN对风速数据进行预测，最后的预测效果很好(Using ANN algorithm to predict wind speed)

说明：  tradaboost的python算法实现(Python algorithm implementation of tradaboost)

基于python的人工智能算法实战。需要tensorflow框架。(Artificial intelligence algorithm based on python. The tensorflow framework is needed.)