人工智能视频课程百度网盘
人工智能课程介绍:
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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.0 Z& s# l( K, o3 E) r
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详细目录:, g# R% e. z. O
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├─01_ta-science-context-and-concepts
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├─01_lesson-1-examples-and-the-diversity-of-ta-science
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├─02_lesson-2-working-definitions-of-ta-science
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├─03_lesson-3-characterizing-this-course
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01_tools-vs-abstractions.mp4
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01_tools-vs-abstractions.srt
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02_desktop-scale-vs-cloud-scale.mp4. Y( A7 F' O; g
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02_desktop-scale-vs-cloud-scale.srt
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03_hackers-vs-analysts.mp4
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03_hackers-vs-analysts.srt
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04_structs-vs-stats.mp4- k+ n
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04_structs-vs-stats.srt& v% i0 C- F
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05_structs-vs-stats-cont-d.mp42 {7 F# @: g* l* z% x+ V
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05_structs-vs-stats-cont-d.srt
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├─04_lesson-4-related-topics
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01_a-fourth-paradigm-of-science.mp47 {+ S, z: S' y& {! C- ?0 L' N4 k! y
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01_a-fourth-paradigm-of-science.srt
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02_ta-intensive-science-examples.mp4
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02_ta-intensive-science-examples.srt- n% ]. L
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03_big-ta-and-the-3-vs.mp4
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03_big-ta-and-the-3-vs.srt
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04_big-ta-definitions.mp4% N" X+ G& R) h1 {
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04_big-ta-definitions.srt6 C6 _1 E" }$ h3 d6 ?& i
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05_big-ta-sources.mp4
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05_big-ta-sources.srt, O- o% F' {/ e) R2 ~2 V6 E6 n* s2 o7 ]: E
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├─05_lesson-5-course-logistics3 j2 X( Y: i! a) f* J
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01_course-logistics.mp4; M. P4 a4 F, F; D, d
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01_course-logistics.srt4 K# j8 m" [4 C& [
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└─06_assignment-1-twitter-sentiment-analysis* |! t; D) |- P
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├─02_relational-tabases-and-the-relational-algebra
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├─01_lesson-6-principles-of-ta-manipulation-and-management
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├─02_lesson-7-relational-algebra
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├─03_lesson-8-sql-for-ta-science
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01_from-sql-to-ra.mp4
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01_from-sql-to-ra.srt% o0 _) Y0 O3 w+ o. X- s+ z0 O
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05_user-defined-functions.mp4+ {
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05_user-defined-functions.srt
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└─04_lesson-9-key-principles-of-relational-tabases
├─03_mapreduce-and-parallel-taflow-programming% I6 8 W+ [3 X; y8 k! y% o1 J
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├─01_lesson-10-reasoning-about-scale7 t; v0 Y0 {1 l( S3 h! q; p4 n9 f1 B
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01_what-does-scalable-mean.mp4. T# T6 y
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01_what-does-scalable-mean.srt% v3 ?' `; d' 7 s+ t8 L
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├─02_lesson-11-the-mapreduce-programming-model
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├─03_lesson-12-algorithms-in-mapreduce
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08_mapreduce-phases.mp4& }/ W) D0 |8 ~. a/ i" e$ @
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08_mapreduce-phases.srt
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└─04_lesson-13-parallel-tabases-vs-mapreduce
├─04_nosql-systems-and-concepts
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├─01_lesson-14-what-problems-do-nosql-systems-aim-to-solve2 A' Q' |! s6 Q& c" l
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02_nosql-roundup.mp4' t+ m, X2 u$ T, j( n$ i
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02_nosql-roundup.srt/ X' Y# ]7 k3 W6 }6 w
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05_eventual-consistency.mp4: ]# [2 S9 r# a, m0 l
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05_eventual-consistency.srt
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06_cap-theorem.mp4
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06_cap-theorem.srt# E1 h
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├─02_lesson-15-early-key-value-systems-and-key-concepts
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01_types-of-nosql-systems.mp4
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01_types-of-nosql-systems.srt
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05_dynamodb-vector-clocks.mp4
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05_dynamodb-vector-clocks.srt' z8 e' j2 p% C
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06_vector-clocks-cont-d.mp4
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06_vector-clocks-cont-d.srt2 g& v2 |, ^# T& B
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├─03_lesson-16-document-stores-and-extensible-record-stores
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01_couchdb-overview.mp4( v% z5 t& O' a* C7 [; e4 K
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01_couchdb-overview.srt3 z; E. {) n) {8 }- l8 q/ r. e
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02_couchb-views.mp4$ p* k2 Z2 O% ~; s; ?6 l/ ^9 ~
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02_couchb-views.srt" ^7 E2 p& d; q* r# y# E
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03_bigtable-overview.mp4
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03_bigtable-overview.srt
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├─04_lesson-17-extended-nosql-systems9 p
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01_hbase-megastore.mp4/ o, b% [3 S" i* [3 o, @
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01_hbase-megastore.srt
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02_spanner.mp4
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02_spanner.srt
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03_spanner-cont-d-google-systems.mp4
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03_spanner-cont-d-google-systems.srt
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04_mapreduce-based-systems.mp4; N) U# S# h' N2 i% q
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04_mapreduce-based-systems.srt8 R3 J) E& E1 I9 k
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05_bringing-back-joins.mp4
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05_bringing-back-joins.srt5 t: o- w& x' W" I. D4 q" @
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06_nosql-rebuttal.mp4: @3 q) w: ], q
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06_nosql-rebuttal.srt
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├─05_lesson-18-pig-programming-with-relational-algebra
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01_almost-sql-pig.mp4
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01_almost-sql-pig.srt( ^2 b6 w1 t3 k
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03_ta-model.mp4# M2 ^7 P5 i$ H, t7 r0 o) s+ n1 ~
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03_ta-model.srt
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04_load-filter-group.mp4
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04_load-filter-group.srt
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├─06_lesson-19-pig-analytics
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01_cogroup-join.mp4( |7 m1 c5 i- @. f0 S
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01_cogroup-join.srt6 S+ B4 [8 X- H5 _, P
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02_join-algorithms.mp4
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02_join-algorithms.srt9 ^4 b7 Y4 y& K' G2 q
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03_skew.mp46 m2 V% [4 V- c: H2 h
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03_skew.srt
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04_other-commands.mp46 p( v' Z& f7 p& ^! B. L
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04_other-commands.srt
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05_evaluation-walkthrough.mp4$ {/ c: j, b. P6 u' q
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05_evaluation-walkthrough.srt' _2 u/ Q% u) q1 U
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06_review.mp4
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06_review.srt
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└─07_lesson-20-spark2 A0 m8 ^! v) t( o
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01_context.mp45 w3 d% B% t3 D% z% i4 i
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01_context.srt
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02_spark-examples.mp4! d) w0 f! v6 `+ b
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02_spark-examples.srt0 k% E$ T3 [
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03_rdds-benefits.mp45 Q2 O8 D% r, y9 M
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03_rdds-benefits.srt
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└─05_graph-analytics
├─01_lesson-21-structural-tasks; }& q( i# K) M, * N4 i( 8 f
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01_graph-overview.mp4
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01_graph-overview.srt6 y3 J! h- Q4 b) v
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02_structural-analysis.mp4
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02_structural-analysis.srt
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03_degree-histograms-structure-of-the-web.mp4
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03_degree-histograms-structure-of-the-web.srt
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04_connectivity-and-centrality.mp4
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04_connectivity-and-centrality.srt
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├─02_lesson-22-traversal-tasks* F, B
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01_pagerank.mp47 C! S9 G7 o
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01_pagerank.srt
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02_pagerank-in-more-detail.mp49 C3 t/ a0 S/ $ N0 z+ C4 y
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02_pagerank-in-more-detail.srt
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03_traversal-tasks-spanning-trees-and-circuits.mp47 S7 j8 ~% j: s$ ]
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03_traversal-tasks-spanning-trees-and-circuits.srt
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04_traversal-tasks-maximum-flow.mp4
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04_traversal-tasks-maximum-flow.srt
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├─03_lesson-23-pattern-matching-tasks-and-graph-query
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01_pattern-matching.mp4
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01_pattern-matching.srt
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02_querying-edge-tables.mp4
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02_querying-edge-tables.srt
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05_graph-query-example-nsa.mp4
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05_graph-query-example-nsa.srt
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├─04_lesson-24-recursive-queries" B* Q2 V, E; e4 _
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01_graph-query-example-recursion.mp4
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01_graph-query-example-recursion.srt
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