sbir

自已写的图形项界面， 主要功能就是在一个view中，显示item，并可对item进行操作，还有些缩放平移功能没有实现，没有动画效果。

ABAQUS文档是软件开发使用和维护中的必备资料。 软件文档或者源代码文档是指与软件系统及其软件工程过程有关联的文本实体。文档的类型包括软件需求文档，设计文档，测试文档，用户手册等。其中的需求文档，设计文档和测试文档一般是在软件开发过程中由开发者写就的，而用户手册等非过程类文档是由专门的非技术类写作人员写就的。 文档能提高软件开发的效率，保证软件的质量，而且在软件的使用过程中有指导、帮助、解惑的作用，尤其在维护工作中，文档是不可或缺的资料。(The ABAQUS documentation is an essential piece of information for software development use and maintenance. A software document or source code document refers to a text entity associated with a software system and its software engineering process. The types of documents include software requirements documents, design documents, test documents, user manuals, etc. The requirements document, design document and test document are generally written by developers in the process of software development, while non-process documents such as user manuals are written by specialized non-technical writers. Documents can improve the efficiency of software development, ensure the quality of software, and have the role of guidance, help, and ambiguity in the use of software. Especially in the maintenance work, documents are indispensable materials.)

python经典教程,想要学习Python脚本语言的可以研究研究(Python course. You can learn more about python.)

说明：  Mlr:多元线性回，Plsr: 偏最小二乘回归。两种回归分析方法分析数据相关程度。(linear-regression analysis)

《深入浅出Python机器学习》源码 ipynb格式("Deep and Simple Python Machine Learning" Source Code ipynb Format)

迁移学习 领域适应性 机器学习 学习代码(Transfer learning Domain Adaptation Machine Learning Coding study Inductive Learning Transductive Learning)

算法与数据结构，python版本的，北大内部教材(Algorithms and Data Structures, Python Version, Peking University Internal Textbook)

Python是一种计算机程序设计语言。是一种面向对象的动态类型语言，最初被设计用于编写自动化脚本(shell)，随着版本的不断更新和语言新功能的添加，越来越多被用于独立的、大型项目的开发。(Python is a computer programming language. As an object-oriented dynamic typed language, it was originally designed to write automated scripts (shells). With the updating of versions and the addition of new language functions, it is increasingly used in the development of independent, large-scale projects.)

第1章　赋予计算机学习数据的能力 1.1　构建智能机器将数据转化为知识 1.2　机器学习的三种不同方法 1.2.1　通过监督学习对未来事件进行预测 1.2.2　通过强化学习解决交互式问题 1.2.3　通过无监督学习发现数据本身潜在的结构 1.2.4　基本术语及符号介绍 1.3　构建机器学习系统的蓝图(Chapter 1 Enables Computers to Learn Data 1.1 Building Intelligent Machines to Transform Data into Knowledge 1.2 Three Different Methods of Machine Learning 1.2.1 Prediction of future events through supervised learning 1.2.2 Solving Interactive Problems through Reinforcement Learning 1.2.3 Discovering the Potential Structure of Data by Unsupervised Learning 1.2.4 Introduction of Basic Terminology and Symbols 1.3 Blueprint for Building Machine Learning System)