40920 8.326976 0.953952 largeDoses
14488 7.153469 1.673904 smallDoses
26052 1.441871 0.805124 didntLike
75136 13.147394 0.428964 didntLike
38344 1.669788 0.134296 didntLike
72993 10.141740 1.032955 didntLike
35948 6.830792 1.213192 largeDoses
42666 13.276369 0.543880 largeDoses
67497 8.631577 0.749278 didntLike
35483 12.273169 1.508053 largeDoses
50242 3.723498 0.831917 didntLike
63275 8.385879 1.669485 didntLike
5569 4.875435 0.728658 smallDoses
51052 4.680098 0.625224 didntLike
77372 15.299570 0.331351 didntLike
43673 1.889461 0.191283 didntLike
61364 7.516754 1.269164 didntLike
69673 14.239195 0.261333 didntLike
15669 0.000000 1.250185 smallDoses
28488 10.528555 1.304844 largeDoses
6487 3.540265 0.822483 smallDoses
37708 2.991551 0.833920 didntLike
22620 5.297865 0.638306 smallDoses
28782 6.593803 0.187108 largeDoses
19739 2.816760 1.686209 smallDoses
36788 12.458258 0.649617 largeDoses
5741 0.000000 1.656418 smallDoses
28567 9.968648 0.731232 largeDoses
6808 1.364838 0.640103 smallDoses
41611 0.230453 1.151996 didntLike
36661 11.865402 0.882810 largeDoses
43605 0.120460 1.352013 didntLike
15360 8.545204 1.340429 largeDoses
63796 5.856649 0.160006 didntLike
10743 9.665618 0.778626 smallDoses
70808 9.778763 1.084103 didntLike
72011 4.932976 0.632026 didntLike
5914 2.216246 0.587095 smallDoses
14851 14.305636 0.632317 largeDoses
33553 12.591889 0.686581 largeDoses
44952 3.424649 1.004504 didntLike
17934 0.000000 0.147573 smallDoses
27738 8.533823 0.205324 largeDoses
29290 9.829528 0.238620 largeDoses
42330 11.492186 0.263499 largeDoses
36429 3.570968 0.832254 didntLike
39623 1.771228 0.207612 didntLike
32404 3.513921 0.991854 didntLike
27268 4.398172 0.975024 didntLike
5477 4.276823 1.174874 smallDoses
14254 5.946014 1.614244 smallDoses
68613 13.798970 0.724375 didntLike
41539 10.393591 1.663724 largeDoses
7917 3.007577 0.297302 smallDoses
21331 1.031938 0.486174 smallDoses
8338 4.751212 0.064693 smallDoses
5176 3.692269 1.655113 smallDoses
18983 10.448091 0.267652 largeDoses
68837 10.585786 0.329557 didntLike
13438 1.604501 0.069064 smallDoses
48849 3.679497 0.961466 didntLike
12285 3.795146 0.696694 smallDoses
7826 2.531885 1.659173 smallDoses
5565 9.733340 0.977746 smallDoses
10346 6.093067 1.413798 smallDoses
1823 7.712960 1.054927 smallDoses
9744 11.470364 0.760461 largeDoses
16857 2.886529 0.934416 smallDoses
39336 10.054373 1.138351 largeDoses
65230 9.972470 0.881876 didntLike
2463 2.335785 1.366145 smallDoses
27353 11.375155 1.528626 largeDoses
16191 0.000000 0.605619 smallDoses
12258 4.126787 0.357501 smallDoses
42377 6.319522 1.058602 didntLike
25607 8.680527 0.086955 largeDoses
77450 14.856391 1.129823 didntLike
58732 2.454285 0.222380 didntLike
46426 7.292202 0.548607 largeDoses
32688 8.745137 0.857348 largeDoses
64890 8.579001 0.683048 didntLike
8554 2.507302 0.869177 smallDoses
28861 11.415476 1.505466 largeDoses
42050 4.838540 1.680892 didntLike
32193 10.339507 0.583646 largeDoses
64895 6.573742 1.151433 didntLike
2355 6.539397 0.462065 smallDoses
0 2.209159 0.723567 smallDoses
70406 11.196378 0.836326 didntLike
57399 4.229595 0.128253 didntLike
41732 9.505944 0.005273 largeDoses
11429 8.652725 1.348934 largeDoses
75270 17.101108 0.490712 didntLike
5459 7.871839 0.717662 smallDoses
73520 8.262131 1.361646 didntLike
40279 9.015635 1.658555 largeDoses
21540 9.215351 0.806762 largeDoses
17694 6.375007 0.033678 smallDoses
22329 2.262014 1.022169 didntLike
46570 5.677110 0.709469 didntLike
42403 11.293017 0.207976 largeDoses
33654 6.590043 1.353117 didntLike
9171 4.711960 0.194167 smallDoses
28122 8.768099 1.108041 largeDoses
34095 11.502519 0.545097 largeDoses
1774 4.682812 0.578112 smallDoses
40131 12.446578 0.300754 largeDoses
13994 12.908384 1.657722 largeDoses
77064 12.601108 0.974527 didntLike
11210 3.929456 0.025466 smallDoses
6122 9.751503 1.182050 largeDoses
15341 3.043767 0.888168 smallDoses
44373 4.391522 0.807100 didntLike
28454 11.695276 0.679015 largeDoses
63771 7.879742 0.154263 didntLike
9217 5.613163 0.933632 smallDoses
69076 9.140172 0.851300 didntLike
24489 4.258644 0.206892 didntLike
16871 6.799831 1.221171 smallDoses
39776 8.752758 0.484418 largeDoses
5901 1.123033 1.180352 smallDoses
40987 10.833248 1.585426 largeDoses
7479 3.051618 0.026781 smallDoses
38768 5.308409 0.030683 largeDoses
4933 1.841792 0.028099 smallDoses
32311 2.261978 1.605603 didntLike
26501 11.573696 1.061347 largeDoses
37433 8.038764 1.083910 largeDoses
23503 10.734007 0.103715 largeDoses
68607 9.661909 0.350772 didntLike
27742 9.005850 0.548737 largeDoses
11303 0.000000 0.539131 smallDoses
0 5.757140 1.062373 smallDoses
32729 9.164656 1.624565 largeDoses
24619 1.318340 1.436243 didntLike
42414 14.075597 0.695934 largeDoses
20210 10.107550 1.308398 largeDoses
33225 7.960293 1.219760 largeDoses
54483 6.317292 0.018209 didntLike
18475 12.664194 0.595653 largeDoses
33926 2.906644 0.581657 didntLike
43865 2.388241 0.913938 didntLike
26547 6.024471 0.486215 largeDoses
44404 7.226764 1.255329 largeDoses
16674 4.183997 1.275290 smallDoses
8123 11.850211 1.096981 largeDoses
42747 11.661797 1.167935 largeDoses
56054 3.574967 0.494666 didntLike
10933 0.000000 0.107475 smallDoses
18121 7.937657 0.904799 largeDoses
11272 3.365027 1.014085 smallDoses
16297 0.000000 0.367491 smallDoses
28168 13.860672 1.293270 largeDoses
40963 10.306714 1.211594 largeDoses
31685 7.228002 0.670670 largeDoses
55164 4.508740 1.036192 didntLike
17595 0.366328 0.163652 smallDoses
1862 3.299444 0.575152 smallDoses
57087 0.573287 0.607915 didntLike
63082 9.183738 0.012280 didntLike
51213 7.842646 1.060636 largeDoses
6487 4.750964 0.558240 smallDoses
4805 11.438702 1.556334 largeDoses
30302 8.243063 1.122768 largeDoses
68680 7.949017 0.271865 didntLike
17591 7.875477 0.227085 smallDoses
74391 9.569087 0.364856 didntLike
37217 7.750103 0.869094 largeDoses
42814 0.000000 1.515293 didntLike
14738 3.396030 0.633977 smallDoses
19896 11.916091 0.025294 largeDoses
14673 0.460758 0.689586 smallDoses
32011 13.087566 0.476002 largeDoses
58736 4.589016 1.672600 didntLike
54744 8.397217 1.534103 didntLike
29482 5.562772 1.689388 didntLike
27698 10.905159 0.619091 largeDoses
11443 1.311441 1.169887 smallDoses
56117 10.647170 0.980141 largeDoses
39514 0.000000 0.481918 didntLike
26627 8.503025 0.830861 largeDoses
16525 0.436880 1.395314 smallDoses
24368 6.127867 1.102179 didntLike
22160 12.112492 0.359680 largeDoses
6030 1.264968 1.141582 smallDoses
6468 6.067568 1.327047 smallDoses
22945 8.010964 1.681648 largeDoses
18520 3.791084 0.304072 smallDoses
34914 11.773195 1.262621 largeDoses
6121 8.339588 1.443357 smallDoses
38063 2.563092 1.464013 didntLike
23410 5.954216 0.953782 didntLike
35073 9.288374 0.767318 largeDoses
52914 3.976796 1.043109 didntLike
16801 8.585227 1.455708 largeDoses
9533 1.271946 0.796506 smallDoses
16721 0.000000 0.242778 smallDoses
5832 0.000000 0.089749 smallDoses
44591 11.521298 0.300860 largeDoses
10143 1.139447 0.415373 smallDoses
21609 5.699090 1.391892 smallDoses
23817 2.449378 1.322560 didntLike
15640 0.000000 1.228380 smallDoses
8847 3.168365 0.053993 smallDoses
50939 10.428610 1.126257 largeDoses
28521 2.943070 1.446816 didntLike
32901 10.441348 0.975283 largeDoses
42850 12.478764 1.628726 largeDoses
13499 5.856902 0.363883 smallDoses
40345 2.476420 0.096075 didntLike
43547 1.826637 0.811457 didntLike
70758 4.324451 0.328235 didntLike
19780 1.376085 1.178359 smallDoses
44484 5.342462 0.394527 didntLike
54462 11.835521 0.693301 largeDoses
20085 12.423687 1.424264 largeDoses
42291 12.161273 0.071131 largeDoses
47550 8.148360 1.649194 largeDoses
11938 1.531067 1.549756 smallDoses
40699 3.200912 0.309679 didntLike
70908 8.862691 0.530506 didntLike
73989 6.370551 0.369350 didntLike
11872 2.468841 0.145060 smallDoses
48463 11.054212 0.141508 largeDoses
15987 2.037080 0.715243 smallDoses
70036 13.364030 0.549972 didntLike
32967 10.249135 0.192735 largeDoses
63249 10.464252 1.669767 didntLike
42795 9.424574 0.013725 largeDoses
14459 4.458902 0.268444 smallDoses
19973 0.0000
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
机器学习(Machine Learning, ML)是一种应用人工智能(AI)领域的科学技术,它使得计算机系统能够从数据中自动学习和改进,而无需显式编程。在机器学习的过程中,算法会通过识别和挖掘数据中的模式来构建一个模型,这个模型可以用于做出预测、分类、聚类、回归以及其他复杂的数据驱动决策。 机器学习的主要类型包括监督学习、无监督学习和半监督学习。在监督学习中,算法根据已知标签的数据集进行训练,以便对未知数据进行预测,例如分类任务(判断邮件是否为垃圾邮件)或回归任务(预测房价)。无监督学习则是在没有标签的情况下,仅凭数据本身的特征发现其中隐藏的结构或模式,如聚类分析(将用户分组到不同的客户细分群体中)。半监督学习介于两者之间,它部分数据有标签,部分数据无标签。 机器学习算法涵盖众多方法,包括但不限于逻辑回归、决策树、随机森林、支持向量机、K近邻算法、神经网络以及深度学习技术等。随着计算能力的增强和大数据时代的到来,机器学习已经在诸多领域展现出强大的功能,如图像识别、语音识别、自然语言处理、推荐系统、金融风控、医疗诊断等。 此外,机器学习的发展与统计学习、逼近论、凸优化、概率论等诸多数学和计算机科学领域紧密相关,且不断地推动着新算法和理论框架的创新与发展。同时,现代机器学习尤其是深度学习模型的内部工作机制有时难以完全解释,因此常被称为“黑箱”决策过程,这也是当前研究中的一个重要挑战。
资源推荐
资源详情
资源评论
收起资源包目录
学习机器学习实战,主要参考apachecn的代码了解书中的思想。.zip (2000个子文件)
README.md 99B
KNN.py 12KB
svm-simple.py 10KB
datingTestSet.txt 34KB
testSet.txt 2KB
9_40.txt 1KB
9_30.txt 1KB
3_47.txt 1KB
5_71.txt 1KB
5_15.txt 1KB
9_78.txt 1KB
0_24.txt 1KB
5_41.txt 1KB
9_51.txt 1KB
2_54.txt 1KB
1_15.txt 1KB
6_16.txt 1KB
0_6.txt 1KB
7_92.txt 1KB
8_86.txt 1KB
4_69.txt 1KB
1_76.txt 1KB
5_23.txt 1KB
5_3.txt 1KB
6_12.txt 1KB
3_38.txt 1KB
0_84.txt 1KB
8_27.txt 1KB
7_36.txt 1KB
1_20.txt 1KB
1_62.txt 1KB
9_74.txt 1KB
3_3.txt 1KB
8_53.txt 1KB
3_14.txt 1KB
3_78.txt 1KB
5_40.txt 1KB
1_54.txt 1KB
9_23.txt 1KB
7_45.txt 1KB
8_29.txt 1KB
2_43.txt 1KB
7_40.txt 1KB
4_41.txt 1KB
7_48.txt 1KB
8_28.txt 1KB
4_22.txt 1KB
2_71.txt 1KB
6_60.txt 1KB
2_79.txt 1KB
4_62.txt 1KB
7_9.txt 1KB
7_93.txt 1KB
4_52.txt 1KB
3_72.txt 1KB
9_63.txt 1KB
5_53.txt 1KB
4_51.txt 1KB
8_22.txt 1KB
8_8.txt 1KB
5_60.txt 1KB
6_30.txt 1KB
3_70.txt 1KB
2_37.txt 1KB
5_12.txt 1KB
7_77.txt 1KB
7_15.txt 1KB
1_29.txt 1KB
8_54.txt 1KB
1_25.txt 1KB
2_83.txt 1KB
4_97.txt 1KB
9_11.txt 1KB
5_24.txt 1KB
4_70.txt 1KB
2_32.txt 1KB
0_17.txt 1KB
1_73.txt 1KB
8_10.txt 1KB
7_73.txt 1KB
2_23.txt 1KB
6_42.txt 1KB
2_28.txt 1KB
9_66.txt 1KB
5_79.txt 1KB
4_79.txt 1KB
2_12.txt 1KB
4_88.txt 1KB
2_78.txt 1KB
2_90.txt 1KB
1_22.txt 1KB
1_48.txt 1KB
1_33.txt 1KB
0_38.txt 1KB
3_39.txt 1KB
2_77.txt 1KB
3_28.txt 1KB
6_39.txt 1KB
1_87.txt 1KB
7_69.txt 1KB
共 2000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 20
资源评论
生瓜蛋子
- 粉丝: 3916
- 资源: 7441
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 动物位移小游戏Java实现,强行使用上了SQLite和MyBatis.zip
- 叠罗汉游戏,安卓java实现,自定义Framlayout,属性动画.zip
- java项目实战练习.zip
- java桌面小程序,主要为游戏.zip学习资料
- 2021级大三上学期计算机体系结构-期末大作业复现代码.zip
- ember前端框架,一键部署到云开发平台.zip
- kero is a front-end model framework. - kero是一个前端模型框架,做为MVVM架构中Model层的增强,提供多维数据模型.zip
- PandaUi 是PandaX的前端框架,PandaX 是golang(go)语言微服务开发架构.zip
- v8垃圾回收机制 一篇技术分享文章
- libre后台管理系统前端,使用vue2开发.zip
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功