长江中游水文爬取信息

《Python语言在Abaqus中的应用》的随书光盘，内含书中涉及的源代码

从网上整理来的Pycharm教程，整理成docx格式，费了一番功夫，不过内容很不错，我也是无意中找到的这么好的资料，感谢作者。对新手应该有所帮助，中文资料，如果E文好就不要下了，直接看文档就好了。

基于matlab的光流法运动目标检测 适合初学者理解

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何恺明等人研究出的基于暗通道的经典图像去雾算法，不仅可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离。(The classic fog removal algorithm based on dark channel, which was developed by He Kaiming and others, not only can restore the color and visibility of images, but also can estimate the distance of objects by using the concentration of fog

大家好，我是Mac Jiang,今天和搭建分享的是台湾大学机器学习基石（Machine Learning Foundations）的个人笔记。个人觉得这门课是一门非常好的机器学习入门课程，值得初学者学习！这份笔记是本人一笔一划手写，扫描后上传了，也算是一个月的心血，希望我的工作能够给大家带来一些学习上的帮助。Week 1: The leaming ProblemDateP1. What is Machine Learning?m:画过观架( observation)款悍技能〔)cb→圆>skdem0过数(d枝能(s)t→DML→5m Prove:增进某种表现 Performance measurePer fornoMeasureML: an alternative rute to butt aomplacoded systems- When human connot prinn the system manually (navigating on Mars)-When human nnot define the solution esaily(speech/vgual recgnition)-When needing raBid deasions that huniang cannot do (high freguency trading?When neeling to be user-orrented in a massive sale(Consumer-targetd mopketig)dataim proved①有在其些日术Pattern RcRRMLerformance机购在完不知邮们度珠meusure的隐藏规剧料灿2.Appliaation of Machine learniO food: data Twitter data Wordsspill tell food Poisoning Cike lines of resturant properlye clothig. data: scale fiqures +client surveysskill: give good fashion recommendation to Clients3 Hosing, data, characteristic of buidings and their energy loadkill:predict energy lad of other buiding closely9 Trans potation: data: Some traffic sign images and meaningsShill= recognize troffic Sions acuratelyO Education: data. Studerts, records onizes ona math tutoring systemskilL: Predict whether a stdert can give a Comet answer to anther question⑥ ntertainment:da: ho w many users have hated some movies象社解料系子荐你统stiu Predict how a user Would rate an uNatPagc3. Com Ponent of Machine lemn输入:x∈x出:y∈Y睛数(9Mrtm)tf:y→丫〔想下的)抛规律台道数据如 raining examples:D=,,()…(xmhyes分sk:9x→y〔学到的程制的孤)辆一M→9Algur+nH( hy Pothesis Set)色色妇的成坏的Pt8,9∈H,从种中最的即9Leaming model= A and He hypothesis set4.Machine learning and other FiMachine (earring, B do值到约练于B数于的设3CMLatMn鸡:eg如 to find property that15e西不哦啥CDM)若立越西的为9R西事无大大区刷若栖与9关,PM可帮助MLArdt9g让电座有很瞰明的表视(下开)CA工)机学展现A工铝能的方法statistics(计利用瓷料爆到推龙,从数学角出发纯计晨钯机罟孑的方法第2讲: Learn to Answera人阳0 n Hypothesis set(假设集)Xxx)「y=(,许答 Wii threshold飞岁=+,讲卷Wx∠thr

matlab编程实现最优化方法中的共轭梯度法。共享给有用的人。

LTE 协议(文档资料)

协作通信中的中继端利用amplify-and-forward协议转发信息

厦门市GIS地图 路网 水系（厦门市.KMZ）