没有合适的资源？快使用搜索试试~ 我知道了~

文库首页安全技术网络安全[补充资料] L1-机器学习&数据挖掘的数学基础1

[补充资料] L1-机器学习&数据挖掘的数学基础1

机器学习

数据挖掘

需积分: 0 0 下载量 166 浏览量 2022-08-03 22:57:23 上传评论收藏 4.24MB PDF 举报

温馨提示

试读

40页

[补充资料] L1-机器学习&数据挖掘的数学基础1

资源推荐

资源详情

资源评论

Areas of Mathematics Essential to

Machine Learning

• Machine learning is part of both statistics and

computer science

• Probability

• Statistical inference

• Validation

• Estimates of error,confidence intervals

• Linear Algebra

• Hugelyuseful for compact representation of linear

transformations on data

• Dimensionally reductiontechniques

• Optimization theory

Notations

•

set membership:ais member of setA

cardinality: number of items in set B

norm: length of vector v

summation

integral

vector(bold, lower case)

matrix (bold, upper case)

function: assigns unique value in range of y

toeachvalueindomainofx

function on multiple variables

•

Probability Spaces

• A probability space models a random process or

experiment with three components:

• Ω, the set of possible outcomes O

• number of possible outcomes = |Ω|

• Discrete space

• Continuous space

|Ω| is finite

|Ω| is infinite

• F, the set of possible events E

• number of possible events = |F|

• P, the probability distribution

• functionmapping each outcome and event to real number

between 0 and 1 (the probability ofO or E)

• probability of an event is sum of probabilities of possible

outcomes in event

AxiomsofProbability

• Non‐negativity:

• for any event

• All possible outcomes:

• p(Ω)=1

• Additivity of disjoint events:

• For all events where ,

ExampleofDiscrete ProbabilitySpace

• Three consecutive flips of a coin

• 8 possible outcomes: O=HHH, HHT, HTH,HTT,THH, THT,

TTH, TTT

• 2

=256 possibleevents

• example: E = ( O∈ {HHT,HTH,THH } ),i.e. exactlytwo

flipsareheads

• example: E = ( O∈ { THT,TTT} ), i.e. the first and third

flipsaretails

• If coin is fair,then probabilities of outcomes are equal

• p( HHH ) =p( HHT ) = p(HTH)=p(HTT)=p(THH)=p(THT)

=p(TTH)=p( TTT) =1/8

• example: probability of event E = ( exactly two heads ) is

p( HHT ) + p(HTH)+p(THH)= 3/8

剩余39页未读，继续阅读

评论收藏

内容反馈

资源评论

资源反馈

评论星级较低，若资源使用遇到问题可联系上传者，3个工作日内问题未解决可申请退款~

石悦

粉丝: 11
资源: 285

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

前往需求广场，查看用户热搜

[补充资料] L1-机器学习&数据挖掘的数学基础1

我们爱数模2014美赛护航培训第四讲讲义及补充材料.zip_数学建模学习资料

python零基础学习篇课程资料-CLASSDATA_ch08数据爬虫技巧_week2（补充了正则）.zip

homlr：R上动手机器学习的补充材料，这是一本涵盖R机器学习基础的应用书籍

python零基础学习篇课程资料-CLASSDATA_ch11_机器学习算法（补充第二章数据.zip

2020-L1-glossary&1.zip

api-ms-win-crt-runtime-l1-1-0&vc_redist.zip

api-ms-win-crt-runtime-l1-1-0

api-ms-win-crt-conio-l1-1-0文件及解决办法

CFA2020-L1V1-6&glossary.zip

api-ms-win-crt-locale-l1-1-0.dll

api-ms-win-downlevel-shlwapi-l1-1-0.dll

api-ms-win-crt-runtime-l1-1-0.dll丢失解决

api-ms-win-core-string-l1-1-0.dll

api-ms-win-core-libraryloader-l1-2-0.dll

api-ms-win-core-libraryloader-l1-2-1.dll（64位）

api-ms-win-core-libraryloader-l1-2-0.dll文件

api-ms-win-core-processthreads-l1-1-1.dll

api-ms-win-crt-private-l1-1-0.dll

api-ms-win-core-synch-l1-2-0.dll

解决api-ms-win-crt-runtime-l1-1-0.dll 丢失问题 绿色版 工具下载

api-ms-win-core-libraryloader-l1-2-0.dll文件 WIN7可用

api-ms-win-core-registry-l1-1-0.dll

api-ms-win-core-processthreads-l1-1-0.dll

最新版ISO/IEC 27001:2022、ISO 27002:2022中英文合集

Goby红队版-win-x64-2.4.7版本

Chrome Header Editor 插件

ISO SAE 21434-2021 中文版.pdf

安全认证cisp教材全套

最新资源

解决api-ms-win-crt-runtime-l1-1-0.dll 丢失问题绿色版工具下载