关键词:
machinelearning
MachinelearningPrefaceDefinitionT:TaskE:ExperienceP:PerformanceSequence:T->E->PSupervisedlearningDefinitionGivetherightanswertoeachexampleofthedataset(calledtrainingdata).TypeRegression:gettheco 查看详情
machinelearning-basics
近几年来热门的神经网络(NeuralNetwork)和深度学习(DeepLearning)是机器学习(MachineLearning)的分支.在计算机科学的定义中,学习可以理解为:"Acomputerprogramissaidtolearnfrom experienceEwithrespecttosomeclassoftasksTandperformancemeasure 查看详情
machinelearning-第7周
SVMsareconsideredbymanytobethemostpowerful‘blackbox‘learningalgorithm,andbyposingacleverly-chosenoptimizationobjective,oneofthemostwidelyusedlearningalgorithmstoday.SupportVectorMachinesLargeMarginCla 查看详情
machinelearning第十一周笔记:photoocr
...Marcovaldo’sblog(http://marcovaldong.github.io/)刚刚完毕了Cousera上MachineLearning的最后一周课程。这周介绍了machinelearning的一个应用:photoOCR(optimalcharacterrecognition,光学字符识别),以下将笔记整理在以下。PhotoOCRProblemDescriptiona 查看详情
machinelearning(带修莫队)(代码片段)
MachineLearning区间出现次数的mex用桶暴力求mex#pragmaGCCoptimize(2)#pragmaGCCoptimize(3,"Ofast","inline")#include<bits/stdc++.h>#defineintlonglong#definefifirst#definesesecond#definep 查看详情
machinelearning课堂笔记之modelandcostfunction
noteforcoursera《machinelearning》1|whatismachinelearning?
WhatisMachineLearning?TwodefinitionsofMachineLearningareoffered.ArthurSamueldescribeditas:"thefieldofstudythatgivescomputerstheabilitytolearnwithoutbeingexplicitlyprogrammed."Thisisanolder,informaldef 查看详情
跟google学machinelearning[1]
时至今日,我才发现machineLearning的应用门槛已经被降到了这么低,简直唾手可得。我实在找不到任何理由不对它进入深入了解。如标题,感谢Google为这项技术发展作出的贡献。当然,可能其他人做了99%,Google只做了1%,我想说,真... 查看详情
machinelearning学习笔记———modelandcostfunction
ModelandCostFunctionModelRepresentation|模型表示Toestablishnotationforfutureuse,we’lluse(x^{(i)})todenotethe“input”variables(livingareainthisexample),alsocalledinputfeatures,and(y^{(i)})todenotethe“ou 查看详情
导航-机器学习(machinelearning)
1逻辑回归2决策树3支持向量机4提升方法5聚类准备在近期复习巩固一下基本机器学期算法的原理和实现,写一些笔记,方便以后自己回顾。1逻辑回归(1)理论推导(2)python实现 查看详情
machinelearning之logisticregression
整理自AdrewNg的machinelearning课程week3 目录:二分类问题模型表示decisionboundary损失函数多分类问题过拟合问题和正则化什么是过拟合如何解决过拟合正则化方法 1、二分类问题什么是二分类问题?垃圾邮件/非垃圾邮件?诈骗... 查看详情
machinelearning
一、ReinforcementLearning强化学习 抛弃人类经验”和“自我训练”并非AlphaGoZero最大的亮点,其关键在于采用了新的reinforcementlearning(强化学习的算法),并给该算法带了新的发展。AlphaGoZero仅拥有4个TPU,零人类经验,其自我训... 查看详情
stp494/stp598:machinelearning
PredictingthePriceofRoundCutDiamondsSTP494/STP598:MachineLearningIntroduction1Data1DataSource.................................................1DataPreparation.......................................... 查看详情
machinelearning|andrewng|coursera吴恩达机器学习笔记
Week1:MachineLearning: AcomputerprogramissaidtolearnfromexperienceEwithrespecttosomeclassoftasksTandperformancemeasureP,ifitsperformanceattasksinT,asmeasuredbyP,improveswithexperienceE. Supe 查看详情
machinelearning—监督学习与非监督学习
斯坦福大学的MachineLearning课程(讲师是AndrewNg)公开课是学习机器学习的“圣经”,以下内容是听课笔记。一、何谓机器学习MachineLearningisfieldofstudythatgivescomputerstheabilitytolearnwithoutbeingexplicitlyprogrammed.也就是说机器学习不需要制定... 查看详情
goodreads:machinelearning(part3)
Inthe firstinstallment ofthisseries,wescrapedreviewsfromGoodreads.Inthesecondone,weperformedexploratorydataanalysisandcreatednewvariables.Wearenowreadyforthe“maindish”:machinelea 查看详情
pythonai-machinelearning-program3(代码片段)
这就是machinelearning(代码片段)
...英文课。对于我们计算机科学与技术方向来说,就是MachineLearning、DistributedSystemandParallelComputing和FundamentalsofImageAnalysis选 查看详情