deep-finance ： deep-finance深度学习 数据集 任务 描述 股票走势预测 通过推文和历史股价预测股票走势的综合数据集。 股票风险预测 标普500公司的电话会议数据集。 财务句子边界检测 FinSBD-2019数据集包含已自动分段的财务文本，可用于财务句子边界检测。 财务句子边界检测 Financial Phrasebank数据集包含4845个英语句子，这些句子是从LexisNexis数据库中发现的财经新闻中随机选择的。 财务问题解答 财务质量检查数据集是通过在2009年至2017年期间在“投资”主题下抓取Stack交换帖子来构建的。 财务情绪分析 FiQA SA数据集包括两种类型的论述：财经新闻头条和财经微博，以及带有手动注释的目标实体，情感评分和方面。 深度学习在股票市场预测中的应用：最新进展。 arxiv2020。 姜伟伟 个性化的所有人指标：具有股票嵌入功能的

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies. . Read more... Abstract: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

综合数据挖掘开源平台，性能非常好，功能包括：Classification: Support Vector Machines, Decision Trees, AdaBoost, Gradient Boosting, Random Forest, Logistic Regression, Neural Networks, RBF Networks, Maximum Entropy Classifier, KNN, Naïve Bayesian, Fisher/Linear/Quadratic/Regularized Discriminant Analysis. Regression: Support Vector Regression, Gaussian Process, Regression Trees, Gradient Boosting, Random Forest, RBF Networks, OLS, LASSO, ElasticNet, Ridge Regression. Feature Selection: Genetic Algorithm based Feature

Fairlearn Fairlearn是一个Python软件包，可让人工智能（AI）系统开发人员评估其系统的公平性并减轻任何观察到的不公平问题。 Fairlearn包含缓解算法以及用于模型评估的Jupyter小部件。 除了源代码之外，该存储库还包含Jupyter笔记本，其中包含Fairlearn用法示例。 网站： ： 当前的版本 当前的稳定版本可从。 我们当前的版本与0.2或更早的版本有很大的不同。 这些旧版本的用户应访问我们的。 我们所说的公平 人工智能系统可能出于多种原因而表现不公平。 在Fairlearn中，我们定义了AI系统在对人的影响（即危害）方面是否表现出不公平的行为。 我们关注两种危害： 分配危害。 当AI系统扩展或保留机会，资源或信息时，可能会发生这些危害。 一些关键的应用程序是在招聘，入学和贷款方面。 服务质量危害。 服务质量是指即使没有扩展或保留任何机会，资源或信息，系统对于一个人的工作是否也与另一个人的工作是否一样好。 我们遵循被称为“群体公平”的方法，该方法问：哪些群体的个人有遭受伤害的风险？ 相关的组需要由数据科学家指定，并且是特定于应用程序的。

The purpose of this book is to provide students of electric power system management the basic knowledge of different optimization problems in the power system operation of utilities as well as the electricity market. The contents of the book are based on recent studies specializing in the application of artificial intelligence such as particle swarm optimization, evolutionary programming, fuzzy logic, and augmented Lagrange Hopfield network to power system optimization problems.

This course provides an introduction to the field of artificial intelligence. The major topics covered will include reasoning and representation, search, constraint satisfaction problems, planning, logic, reasoning under uncertainty, and planning under uncertainty.

这是一本配套Artificial intelligence foundation of computational agents的python代码，虽然版本有些不一样，第二版的书籍可以http://www.artint.info/2e/html/ArtInt2e.html观看

Artificial intelligence (AI) 人工智能 Name:********** Artificial-intelligence人工智能(口语课)全文共13页，当前为第1页。 Nowadays, a computer called AlphaGo beat Lee Sedol, a master of the ancient Chinese board game Go(围棋) from Korea. The final score is 4:1. As we all know, Go is world's hardest game. It's a giant leap for AI showing that machines can learn and think on their own in a human way. AlphaGo's victory shocked experts in AI community and the world. I'm the winner! 李世石(Lee Sedol) AlphaGo（阿尔法狗） VS 4:1 Machine

Artificial intelligence ——By dreamers Artificial-intelligence人工智能PPT全文共16页，当前为第1页。 At the beginning of this presentation, I would like to give a definition concerning artificial intelligence. Artificial-intelligence人工智能PPT全文共16页，当前为第2页。 Artificial intelligence, English abbreviated(缩写)AI. It is developed for research（研究）, simulation（模拟）, extension（延伸） and expansion（扩展） of human intelligence theory（理论）, methods（方法）, a new technology of science and technology and application system（应用系统）. Artificia

商务智能教学课件：01 Business Intelligence.ppt