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[人工智能] 美国尖端人工智能视频教程 五大部分 规模系统和算法的数据操作 105集 英文带字幕,全套视频教程学习资料通过百度云网盘下载

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  • TA的每日心情
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    2024-9-19 21:14
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    [LV.10]以坛为家III

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    发表于 2021-4-15 04:25:43 | 只看该作者 回帖奖励 |倒序浏览 |阅读模式

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    课程介绍:
    2k7W:y2S$M
    高级货,全英文,朋友从美国传过来的他们学校公开课内容,适合英文基础不错的同学来学习和理解.0Z&s#l(K,o3E)r
    !k&_0\$B:u9X4^/b5b

    详细目录:,g#R%e.z.O
    $u  e5e:r/d0e
    +C:r+o-V  h*z*k7|4t
      ├─01_data-science-context-and-concepts
      │  ├─01_lesson-1-examples-and-the-diversity-of-data-science
      │  ├─02_lesson-2-working-definitions-of-data-science
      │  ├─03_lesson-3-characterizing-this-course
      │  │    01_tools-vs-abstractions.mp4
      │  │    01_tools-vs-abstractions.srt
      │  │    02_desktop-scale-vs-cloud-scale.mp4.Y(A7F'O;g  e
      │  │    02_desktop-scale-vs-cloud-scale.srt
      │  │    03_hackers-vs-analysts.mp4
      │  │    03_hackers-vs-analysts.srt
      │  │    04_structs-vs-stats.mp4-k+n  M+a+A5Q(@  H8o
      │  │    04_structs-vs-stats.srt&v%i0C-F  |#U7X%A.^9_0D
      │  │    05_structs-vs-stats-cont-d.mp42{7F#@:g*l*z%x+V  ~
      │  │    05_structs-vs-stats-cont-d.srt
      │  │    (m2@5D"l+t/E,~%E
      │  ├─04_lesson-4-related-topics  [-t1H  I:K4Y,D8s
      │  │    01_a-fourth-paradigm-of-science.mp47{+S,z:S'y&{!C-?0L'N4k!y
      │  │    01_a-fourth-paradigm-of-science.srt
      │  │    02_data-intensive-science-examples.mp4
      │  │    02_data-intensive-science-examples.srt-n%].L  F+E)h2I
      │  │    03_big-data-and-the-3-vs.mp4
      │  │    03_big-data-and-the-3-vs.srt
      │  │    04_big-data-definitions.mp4%N"X+G&R)h1{
      │  │    04_big-data-definitions.srt6C6_1E"}$h3d6?&i
      │  │    05_big-data-sources.mp4
      │  │    05_big-data-sources.srt,O-o%F'{/e)R2~2V6E6n*s2o7]:E
      │  │    -B-h+F;L$u,I'r${
      │  ├─05_lesson-5-course-logistics3j2X(Y:i!a)f*J
      │  │    01_course-logistics.mp4;M.P4a4F,F;D,d
      │  │    01_course-logistics.srt4K#j8m"[4C&[
      │  │    5i-[*A:V0n
      │  └─06_assignment-1-twitter-sentiment-analysis*|!t;D)|-P  Y;K-}
      ├─02_relational-databases-and-the-relational-algebra
      │  ├─01_lesson-6-principles-of-data-manipulation-and-management
      │  ├─02_lesson-7-relational-algebra
      │  ├─03_lesson-8-sql-for-data-science
      │  │    01_from-sql-to-ra.mp4
      │  │    01_from-sql-to-ra.srt%o0_)Y0O3w+o.X-s+z0O
      │  │    05_user-defined-functions.mp4+{  C7k5C)w:v-g)y.[0@
      │  │    05_user-defined-functions.srt
      │  │    
      │  └─04_lesson-9-key-principles-of-relational-databases
      ├─03_mapreduce-and-parallel-dataflow-programming%I6\8W+[3X;y8k!y%o1J
      │  ├─01_lesson-10-reasoning-about-scale7t;v0Y0{1l(S3h!q;p4n9f1B
      │  │    01_what-does-scalable-mean.mp4.T#T6y  d0W)b
      │  │    01_what-does-scalable-mean.srt%v3?'`;d'\7s+t8L
      │  │    /r8n&z%Q  s6S
      │  ├─02_lesson-11-the-mapreduce-programming-model
      │  ├─03_lesson-12-algorithms-in-mapreduce
      │  │    08_mapreduce-phases.mp4&}/W)D0|8~.a/i"e$@
      │  │    08_mapreduce-phases.srt
      │  │    ;X4q/|)y3c1r#S6[*D(m/k
      │  └─04_lesson-13-parallel-databases-vs-mapreduce
      ├─04_nosql-systems-and-concepts
      │  ├─01_lesson-14-what-problems-do-nosql-systems-aim-to-solve2A'Q'|!s6Q&c"l
      │  │    02_nosql-roundup.mp4't+m,X2u$T,j(n$i
      │  │    02_nosql-roundup.srt/X'Y#]7k3W6}6w  M  o#_
      │  │    05_eventual-consistency.mp4:]#[2S9r#a,m0l  A+V8]5X
      │  │    05_eventual-consistency.srt
      │  │    06_cap-theorem.mp4
      │  │    06_cap-theorem.srt#E1h  z)^*I
      │  │    2q3H7i7}4?4L!o
      │  ├─02_lesson-15-early-key-value-systems-and-key-concepts
      │  │    01_types-of-nosql-systems.mp4
      │  │    01_types-of-nosql-systems.srt
      │  │    05_dynamodb-vector-clocks.mp4
      │  │    05_dynamodb-vector-clocks.srt'z8e'j2p%C
      │  │    06_vector-clocks-cont-d.mp4
      │  │    06_vector-clocks-cont-d.srt2g&v2|,^#T&B
      │  │    
      │  ├─03_lesson-16-document-stores-and-extensible-record-stores
      │  │    01_couchdb-overview.mp4(v%z5t&O'a*C7[;e4K
      │  │    01_couchdb-overview.srt3z;E.{)n){8}-l8q/r.e
      │  │    02_couchb-views.mp4$p*k2Z2O%~;s;?6l/^9~
      │  │    02_couchb-views.srt"^7E2p&d;q*r#y#E
      │  │    03_bigtable-overview.mp4
      │  │    03_bigtable-overview.srt
      │  │    2q+@2{3G,J3T,Q6y!V4d:R
      │  ├─04_lesson-17-extended-nosql-systems9p  r8A(|/T1R
      │  │    01_hbase-megastore.mp4/o,b%[3S"i*[3o,@
      │  │    01_hbase-megastore.srt
      │  │    02_spanner.mp4
      │  │    02_spanner.srt
      │  │    03_spanner-cont-d-google-systems.mp4
      │  │    03_spanner-cont-d-google-systems.srt
      │  │    04_mapreduce-based-systems.mp4;N)U#S#h'N2i%q
      │  │    04_mapreduce-based-systems.srt8R3J)E&E1I9k
      │  │    05_bringing-back-joins.mp4
      │  │    05_bringing-back-joins.srt5t:o-w&x'W"I.D4q"@
      │  │    06_nosql-rebuttal.mp4:@3q)w:],q  e)V(p#a$B4_
      │  │    06_nosql-rebuttal.srt
      │  │    8n  M8@8v$Q+_!j8r%@!y
      │  ├─05_lesson-18-pig-programming-with-relational-algebra
      │  │    01_almost-sql-pig.mp4
      │  │    01_almost-sql-pig.srt(^2b6w1t3k
      │  │    03_data-model.mp4#M2^7P5i$H,t7r0o)s+n1~
      │  │    03_data-model.srt
      │  │    04_load-filter-group.mp4
      │  │    04_load-filter-group.srt  l&F(G-H,n7L)e0H'Q
      │  │    3|6B-S;R  _*t$p$S9i
      │  ├─06_lesson-19-pig-analytics
      │  │    01_cogroup-join.mp4(|7m1c5i-@.f0S
      │  │    01_cogroup-join.srt6S+B4[8X-H5_,P
      │  │    02_join-algorithms.mp4
      │  │    02_join-algorithms.srt9^4b7Y4y&K'G2q  Y&e
      │  │    03_skew.mp46m2V%[4V-c:H2h
      │  │    03_skew.srt
      │  │    04_other-commands.mp46p(v'Z&f7p&^!B.L
      │  │    04_other-commands.srt
      │  │    05_evaluation-walkthrough.mp4${/c:j,b.P6u'q
      │  │    05_evaluation-walkthrough.srt'_2u/Q%u)q1U
      │  │    06_review.mp4
      │  │    06_review.srt
      │  │    #p#~7}9S%p&@
      │  └─07_lesson-20-spark2A0m8^!v)t(o
      │      01_context.mp45w3d%B%t3D%z%i4i
      │      01_context.srt
      │      02_spark-examples.mp4!d)w0f!v6`+b
      │      02_spark-examples.srt0k%E$T3[  @/v)g8s6_&}+d
      │      03_rdds-benefits.mp45Q2O8D%r,y9M
      │      03_rdds-benefits.srt
      │      2F%V9F#k  y5G2}
      └─05_graph-analytics
          ├─01_lesson-21-structural-tasks;}&q(i#K)M,\*N4i(\8f
          │    01_graph-overview.mp4
          │    01_graph-overview.srt6y3J!h-Q4b)v
          │    02_structural-analysis.mp4
          │    02_structural-analysis.srt
          │    03_degree-histograms-structure-of-the-web.mp4
          │    03_degree-histograms-structure-of-the-web.srt
          │    04_connectivity-and-centrality.mp4
          │    04_connectivity-and-centrality.srt
          │    +m0T$Z5@!_)y9y,p6?&^
          ├─02_lesson-22-trA危ersal-tasks*F,B  z/d:|$[6a.q
          │    01_pagerank.mp47C!S9G7o  `8`
          │    01_pagerank.srt
          │    02_pagerank-in-more-detail.mp49C3t/a0S/\$N0z+C4y
          │    02_pagerank-in-more-detail.srt
          │    03_trA危ersal-tasks-spanning-trees-and-circuits.mp47S7j8~%j:s$]
          │    03_trA危ersal-tasks-spanning-trees-and-circuits.srt
          │    04_trA危ersal-tasks-maximum-flow.mp4
          │    04_trA危ersal-tasks-maximum-flow.srt
          │    
          ├─03_lesson-23-pattern-matching-tasks-and-graph-query
          │    01_pattern-matching.mp4
          │    01_pattern-matching.srt
          │    02_querying-edge-tables.mp4
          │    02_querying-edge-tables.srt
          │    05_graph-query-example-nsa.mp4
          │    05_graph-query-example-nsa.srt
          │    
          ├─04_lesson-24-recursive-queries"B*Q2V,E;e4_
          │    01_graph-query-example-recursion.mp4
          │    01_graph-query-example-recursion.srt


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