GTA V的无人驾驶汽车 概述 该项目的目的是使用虚拟模拟器（尤其是GTA V）创建自动驾驶汽车。

Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it Table of Contents Chapter 1. Introduction to Artificial Intelligence Chapter 2. Classification and Regression Using Supervised Learning Chapter 3. Predictive Analytics with Ensemble Learning Chapter 4. Detecting Patterns with Unsupervised Learning Chapter 5. Building Recommender Systems Chapter 6. Logic Programming Chapter 7. Heuri

This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption. FEATURES: Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises Includes DVD with resources, simulations, and figures from the book Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc. Table of Contents Part 1: Introduction Chapter 1 Overview of Artificial Intelligence PART II: FUNDAMENTALS Chapter 2 Uninformed Search Chapter 3 Informed Search Chapter 4 Search Using Games Chapter 5 Logic in Artificial Intelligence Chapter 6 Knowledge Representation Chapter 7 Production Systems PART III: KNOWLEDGE-BASED SYSTEMS Chapter 8 Uncertainty in AI Chapter 9 Expert Systems Chapter 10 Machine Learning: Part I Inductive Learning with Decision Trees Chapter 11 Machine Learning : Part II Neural Networks Chapter 12 Search Inspired by Mother Nature PART IV: ADVANCED TOPICS Chapter 13 Natural Language

瓶颈变压器-火炬 在Pytorch中，在性能-计算权衡方面优于EfficientNet和DeiT的卷积（SotA）视觉识别模型的卷积+注意实现 安装 $ pip install bottleneck-transformer-pytorch 用法 import torch from torch import nn from bottleneck_transformer_pytorch import BottleStack layer = BottleStack ( dim = 256 , # channels in fmap_size = 64 , # feature map size dim_out = 2048 , # channels out proj_factor = 4 , #

《MATLAB 智能算法30 个案例分析（第2 版）》（ISBN 978‐7‐5124‐1411‐2）一书的配套光盘，内容包含书中各个章节（案例）的MATLAB 源码。

这是系列文章中的第一篇，我们将解释如何使用转换器创建AI聊天机器人。

中文版电子书 + 英文版电子书 + 源代码 本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。

人工智能导论 我们期末考试的题型主要包括了选择、填空、判断、问答、证明等题型。大家复习的时候需要多理解老师们在课上讲的关于传统人工智能、博弈论、新人工智能的部分中的示例，不需要死记硬背一些概念。其中博弈论部分复习要点为： 1.基本概念 博弈 占优策略 纳什均衡 （混合）策略 囚徒困境 2.对抗算法基本原理 minimax 算法 alpha-beta 剪枝 蒙特卡洛树搜索算法 求star:red_heart::two_hearts::sparkling_heart::face_blowing_a_kiss: 人工智能的概念 定义 智能机器 能够在各类环境中自主地或交互地执行各种拟人任务(anthropomorphic tasks)的机器。 定义 1 人工智能 AI 是关于知识的科学，怎样表示知识以及怎样获得知识并使用知识的科学。(Nilsson) AI 就是研究如何使计算机做过去只有人才能做的智能工作。(Winston) 定义 2 人工智能(学科) 人工智能(学科)是计算机科学中涉及研究、设计和应用智能

Cognos® 8 Business Intelligence(METRIC STUDIO 用户指南)

Open Source Intelligence Methods and Tools focuses on building a deep understanding of how to exploit open source intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support intelligence analysis. The harvested data can be used in different scenarios such as financial, crime, and terrorism investigations as well as in more regular tasks such as analyzing business competitors, running background checks, and acquiring intelligence about individuals and other entities. This book will also improve your skills in acquiring information online from the surface web, the deep web, and the darknet. Many estimates show that 90 percent of useful information acquired by intelligence services comes from public sources (in other words, OSINT sources). Social media sites open up numerous opportunities for investigations because of the vast amount of useful information located in one place. For example, you can get a great deal of personal information about any person worldwide by just checking their Facebook page. This book will show you how to conduct advanced social media investigations to access content believed to be private, use advanced search engines queries to return accurate results, search historical deleted versions of websites, track individuals online using public record databases and people-searching tools, locate information buried in the deep web, access and navigate the dark web, collect intelligence from the dark web, view multiple historic satellite images and street views of any location, search geolocation information within popular social media sites, and more. In short, you will learn how to use a plethora of techniques, tools, and free online services to gather intelligence about any target online. OSINT-gathering activities should be conducted secretly to avoid revealing the searcher’s identity. Therefore, this book will teach you how to conceal your digital identity and become anonymous on