3. Brief Introduction to assignments and projects
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_$C5F94B42-3DA4-459A-9AEF-09C0574A7E11 % & ' ` ) * + - 1 b c h l p]isLeftAligned_*{-384.84495192308145, -371.20312499999329} 4 d e XpathType 7 8 9 : f_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ i k 7 8 9 : j_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H n _1. Introduction to the course
_$91FAA29A-7F82-4887-B9FE-F4E14E8E8052_*{-84.844951923081453, -370.70312499999329} 4 s t XpathType 7 8 9 u v#@ _({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w y { 7 8 9 z_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ~ _Week1: Introduction
_$BC37CA04-D4A3-45EE-8EBD-BEB89926C6DB % & ' ) * + - w [layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_){1396.6065045733783, -341.74157626129863} 4 XpathType 7 8 9 : _({0.120000, 0.476000, 0.116000, 1.000000} > ? @ 7 8 9 : _({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _5. Deep Sequence Learning
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_$3C42DFC6-239D-433F-95F2-26B4220B2AA2 % & ' ) * + - 1 ]isLeftAligned_){1396.6065045733783, -273.74157626129863} 4 XpathType 7 8 9 : _){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 7 8 9 : _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _7. Case study: LogAnomaly (Weibin)
_$9DB0B2D2-CA55-431D-B301-51F6741A6124 % & ' ) * + - 1 ]isLeftAligned_){783.60650457337829, -245.74157626129863} 4 XpathType 7 8 9 : _({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 : _({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _4.Logistic Regression
_$BFB30AF1-6966-41CE-8DFB-072E1B3EF53F % & ' ) * + - 1 ]isLeftAligned_){903.60650457337829, -279.74157626129863} 4 XpathType 7 8 9 : _({0.149000, 0.733000, 0.820000, 1.000000} > ? @ 7 8 9 : _({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3.SVM
_$ED7BC03F-7487-4278-8DC3-3C67EF09E084 % & ' ) * + - 1 ]isLeftAligned_){900.60650457337829, -313.74157626129863} 4 XpathType 7 8 9 : _({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 : _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. PCA
_$A971042E-166A-4063-B74B-AB4F3BE9FF41 % & ' ) * + - 1 ]isLeftAligned_){722.60650457337829, -369.74157626129863} 4 XpathType 7 8 9 : _){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 7 8 9 : _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _1. Case Study: Log Anomaly Detection (ISSRE 2016)
_$071AEFBA-EE33-4989-886E-C7F49F82CA04_){1029.6065045733783, -338.74157626129863} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week 9&10: Log Parsing and Anomaly Detection (II)
_$E7B3E9B6-6961-4E72-98FE-55091705887C % & ' ) * + -rs ww{ [layoutStyle_decreasingStrokeWidth);N` % & ' ) * + - 1 $ (]isLeftAligned_){250.48445796966553, -172.45142364501953} 4 XpathType 7 8 9 : _({0.992000, 0.714000, 0.051000, 1.000000} > ? @ !# 7 8 9 :"_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H & _4. Introduction to Visualization
_$8C0C86B9-1EE0-45A5-ABAC-4EC647B35550 % & '* ) * + - 1,- 26 :]isLeftAligned_){250.48445796966553, -138.45142364501953} 4./ XpathType 7 8 9 :0_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 35 7 8 9 :4_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H 8 _5. Nengwen: Assignment 1
_$8D52987B-6BE2-4D22-AD64-B7F64B6939D4 % & '< ) * + - 1>? DH M]isLeftAligned_*{-402.51554203033447, -121.45142364501953} 4@A XpathType 7 8 9 :B_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ EG 7 8 9 :F_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GI K#@@ _3. Storytelling with Visualization
_$CDE9AFE4-C997-47FA-BFF2-F638B3E1D734 % & 'O ) * + - 1QR W[ _]isLeftAligned_*{-276.51554203033447, -155.45142364501953} 4ST XpathType 7 8 9 :U_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ XZ 7 8 9 :Y_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ] _2. ANM website
_$99643FF1-1EA2-4A46-8A85-09B7C8C80D18 % & 'a ) * + - 1cd im q]isLeftAligned_*{-371.51554203033447, -189.45142364501953} 4ef XpathType 7 8 9 :g_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ jl 7 8 9 :k_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H o _1. Student Self-Introduction
_$157D8A5C-CAF6-47F2-9CF4-D7113E6695E1_*{-76.515542030334473, -173.95142364501953} 4tu XpathType 7 8 9 uv_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ wxz 7 8 9 y_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H } o < p s t y l e = ' t e x t - a l i g n : l e f t ; ' > < s p a n s t y l e = ' c o l o r : r g b a ( 2 2 , 6 7 , 8 5 , 1 . 0 0 0 0 0 0 ) ; f o n t : 2 4 p x " H e l v e t i c a N e u e " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " H e l v e t i c a N e u e - L i g h t " ; ' > W e e k 2 < / s p a n > < s p a n s t y l e = ' c o l o r : r g b a ( 2 2 , 6 7 , 8 5 , 1 . 0 0 0 0 0 0 ) ; f o n t : 2 4 p x " P i n g F a n g S C " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " P i n g F a n g S C - L i g h t " ; ' > < / s p a n > < s p a n s t y l e = ' c o l o r : r g b a ( 2 2 , 6 7 , 8 5 , 1 . 0 0 0 0 0 0 ) ; f o n t : 2 4 p x " H e l v e t i c a N e u e " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " H e l v e t i c a N e u e - L i g h t " ; ' > V i s u a l i z a t i o n < / s p a n > < / p > _$74E73EA1-9B86-4583-999A-A74DCDC1CEAE % & ' ) * + - w [layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_){1270.5587730305319, -207.51377695279268} 4 XpathType 7 8 9 :_({0.992000, 0.714000, 0.051000, 1.000000} > ? @ 7 8 9 :_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _1. Quick Overview of Event Prediction case studies.
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_$46198056-B094-4919-9ECE-5F4828C0CE2A % & ' ) * + - 1 ]isLeftAligned_){1270.5587730305319, -83.513776952792682} 4 XpathType 7 8 9 :_({0.992000, 0.714000, 0.051000, 1.000000} > ? @ 7 8 9 :_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _4. Transfer Learning
_$9ACFBB19-6AA9-440A-9B46-24B37AADC26C_){906.55877303053194, -162.01377695279268} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week 11:Event Prediction
_$ADD8A97E-033E-496B-9CF6-F1C3C84400CF % & ' ) * + -^_ wcg l[layoutStyle_decreasingStrokeWidth(:L % & ' ) * + - 1 ]isLeftAligned_){222.15134239196777, -44.925898551940918} 4 XpathType 7 8 9 :_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _4. Information Gain
_$3027BCF4-8882-4057-9107-5E89567FA58F % & ' ) * + - 1 ]isLeftAligned_){222.15134239196777, -10.925898551940918} 4 XpathType 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000} > ? @ 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _5. Decision Trees
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_$D4A68ABF-DA46-4089-B641-D89442D0D844 % & ') ) * + - 1+, 15 9]isLeftAligned_){-292.84865760803223, 40.074101448059082} 4-. XpathType 7 8 9 :/_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ 24 7 8 9 :3_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H 7 _3. Internet Basics
_$7A7B0A53-648F-42E0-9A62-FCC81924BEB7 % & '; ) * + - 1=> CG K]isLeftAligned_({-390.84865760803223, 6.074101448059082} 4?@ XpathType 7 8 9 :A_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ DF 7 8 9 :E_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H I _2. Correlation and Regression
_$DA2C3479-6DDA-4167-9BDC-486B163D510D % & 'M ) * + - 1OP UY ]]isLeftAligned_*{-403.84865760803223, -27.925898551940918} 4QR XpathType 7 8 9 :S_({0.049000, 0.633000, 0.720000, 1.000000} > ? @ VX 7 8 9 :W_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H [ _1. SIGCOMM 2011 Case Study
_$004A8931-AA9D-4D54-B624-39CC438BEAEC_*{-79.848657608032227, -10.425898551940918} 4`a XpathType 7 8 9 ub_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ wdf 7 8 9 e_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H i _Week 3: Correlation
_$3E49CA99-A90D-4AE6-94C5-39494EEE7616 % & 'n ) * +o -p w [layoutStyle_decreasingStrokeWidthq % & 'r ) * + - 1tu z~ ]isLeftAligned_){1245.8001062340998, -22.450810562701804} 4vw XpathType 7 8 9 :x_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ {} 7 8 9 :|_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _1. Microservice Tutorial
_$969EE328-C71A-4C97-9854-EAE550F8FE80 % & ' ) * + - 1 ]isLeftAligned_({1245.8001062340998, 11.549189437298196} 4 XpathType 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. case study: LSTM+VAE for Trace Anomaly Detection
_$EE0B6FD7-3EC4-46DA-BB86-B6D99AA22202 % & ' ) * + - 1 ]isLeftAligned_({1245.8001062340998, 67.549189437298196} 4 XpathType 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3. case study: Multimodal Deep Learning for Trace Anomaly Detection
_$52BA2CC2-D8BA-426D-A231-A6EAD210B141_({874.80010623409976, 13.049189437298196} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week 12: Trace Anomaly Detection and Localization
_$34C06FEE-2776-4184-938A-D5B66364D4FD % & ' ) * + - 1 w [layoutStyle_decreasingStrokeWidth_){-92.990279796511686, 159.84901889534876} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({1.000000, 1.000000, 1.000000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _No Class in Week 4&5
_$6240052E-3CF3-484C-9D7A-652E37C28082 % & ' ) * + - w ! &[layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_'{1138.730125661697, 162.99675481058432} 4 XpathType 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _1. CNN
_$E848ED9E-AEDF-4501-8C9E-A1FD7890E9AF % & ' ) * + - 1 ]isLeftAligned_'{1138.730125661697, 196.99675481058432} 4 XpathType 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@x _2. tutorials on Tickets, Triage, PostMoterm
_$8839F3F2-B8BE-4611-B420-E932EAAABD7E % & ' ) * + - 1 ]isLeftAligned_'{1138.730125661697, 230.99675481058432} 4 XpathType 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@w _3. case study: ticket representation and ticket resolution recommendation (KDD 2017)
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_$11DE0D48-5FA3-4D65-BD9A-BF538C9B73D0 % & '( ) * +) -*st wx| [layoutStyle_decreasingStrokeWidth+=Oa % & ', ) * + - 1./ 48 <]isLeftAligned_({274.61081024881878, 312.10144269655927} 401 XpathType 7 8 9 :2_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ 57 7 8 9 :6_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H : _3. RandomForest
_$46E59146-DA19-4159-8432-E08A4679055A % & '> ) * + - 1@A FJ N]isLeftAligned_({274.61081024881878, 346.10144269655927} 4BC XpathType 7 8 9 :D_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ GI 7 8 9 :H_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H L _4. Case study: Opprentice
_$224C7255-1052-4675-8C81-43182310CD7E % & 'P ) * + - 1RS X\ `]isLeftAligned_){-391.38918975118122, 335.10144269655927} 4TU XpathType 7 8 9 :V_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ Y[ 7 8 9 :Z_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ^ _2. Time series algorithms Tutorial;TSD;
_$602B08AC-130F-43AD-922F-5BB886012C78 % & 'b ) * + - 1de jn r]isLeftAligned_){-410.38918975118122, 301.10144269655927} 4fg XpathType 7 8 9 :h_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ km 7 8 9 :l_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H p _1. Accuracy_CV_Overfitting
_$6D13F464-9468-4912-8391-D5D79DF44DEA_){-113.38918975118122, 298.10144269655927} 4uv XpathType 7 8 9 uw_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ wy{ 7 8 9 z_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ~ _Week 6: Time Series and its Anomaly Detection (I)
_$79B6D81D-EB94-4BB2-B642-47D1BB109712 % & ' ) * + - w [layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_({1171.4138686390659, 386.08201556872598} 4 XpathType 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GI _1. case study: DeepRM
_$C956A523-8042-464A-8825-1E9BE3E8760C % & ' ) * + - 1 ]isLeftAligned_({1171.4138686390659, 420.08201556872598} 4 XpathType 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. Deep Reinforcement Learning
_$A2BB27EA-5AE5-4613-80E4-F2699497D7D8 % & ' ) * + - 1 ]isLeftAligned_({1171.4138686390659, 454.08201556872598} 4 XpathType 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000} > ? @ 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@q o < p s t y l e = ' t e x t - a l i g n : l e f t ; ' > < s p a n s t y l e = ' c o l o r : r g b a ( 5 2 , 7 2 , 8 3 , 1 . 0 0 0 0 0 0 ) ; f o n t : 1 8 p x " H e l v e t i c a N e u e " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " H e l v e t i c a N e u e " ; ' > 3 . C a s e s t u d y : D e c i m a < / s p a n > < s p a n s t y l e = ' c o l o r : r g b a ( 5 2 , 7 2 , 8 3 , 1 . 0 0 0 0 0 0 ) ; f o n t : 1 8 p x " P i n g F a n g S C " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " P i n g F a n g S C - R e g u l a r " ; ' > < / s p a n > < s p a n s t y l e = ' c o l o r : r g b a ( 5 2 , 7 2 , 8 3 , 1 . 0 0 0 0 0 0 ) ; f o n t : 1 8 p x " H e l v e t i c a N e u e " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " H e l v e t i c a N e u e " ; ' > D e e p R L + G r a p h N e u r a l N e t w o r k < / s p a n > < / p >_$BD5BE8C1-7F2E-489B-BBF5-1996741A015F_({863.41386863906587, 401.58201556872598} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week 14: Resource Management
_$35AD2F57-5AA8-4E69-B503-488281AD9BF8 % & ' ) * + -MN wRV \[layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_'{306.5058354887849, 482.87054053018255} 4 XpathType 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3. Deep Learning
_$45E9F2D8-6571-4A86-A047-3B9462CCC41D % & ' ) * + - 1 ]isLeftAligned_'{306.5058354887849, 516.87054053018255} 4 XpathType 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _4. Deep Generative Model
_$BE41B7C9-8912-4DE4-9EB6-87C5B612A933 % & ' ) * + - 1 ]isLeftAligned_'{306.5058354887849, 550.87054053018255} 4 XpathType 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _5. Case study: Donut
_$08FCC3D3-9FC9-4720-9EFD-016266C079D5 % & ' ) * + - 1 ]isLeftAligned_({-428.4941645112151, 522.87054053018255} 4 XpathType 7 8 9 : _({0.573000, 0.165000, 0.647000, 1.000000} > ? @ 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. Time-Series Anomaly Detection Service at Microsoft
_$1A01EFEB-99DA-40CD-ABD3-3B9F91153678 % & ' ) * + ->? DH L]isLeftAligned % & ' ) * + - 1 %) =]isLeftAligned_({-443.4941645112151, 488.87054053018255} 4 ! XpathType 7 8 9 "##@ _({0.992000, 0.714000, 0.051000, 1.000000} > ? @ &( 7 8 9 :'_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E* F G H+ ;YfontStyle,- 9./012 45 7 VitalicXfontSize]strikethroughXfontNameYalignmentYunderlineTbold#@2 _({0.263000, 0.357000, 0.400000, 1.000000}]HelveticaNeue P_$28CF4EFB-F86B-4555-ADAC-3974285D2619_({-333.4941645112151, 488.87054053018255} 4@A XpathType 7 8 9 :B_({0.992000, 0.714000, 0.051000, 1.000000} > ? @ EG 7 8 9 :F_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H J _1. Project Introduction.
_$7B89D927-C304-4AB9-94A7-8D0844BE0380_){-77.494164511215104, 485.87054053018255} 4OP XpathType 7 8 9 uQ_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ wSU 7 8 9 T_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GW Y#@r _Week 7: Time Series Anomaly Detection (II)
_$C408230B-0627-4B2D-9C53-F44A8B27C3B3 % & '^ ) * +_ -` w [layoutStyle_decreasingStrokeWidtha % & 'b ) * + -c ]isLeftAlignedd % & 'e ) * + -f ]isLeftAlignedg % & 'hi ) * + - 1kl qvz ]isLeftAlignedXfileLink_({1523.1336972233346, 596.23286293102183} 4mn XpathType 7 8 9 uo_({0.071000, 0.529000, 0.871000, 1.000000}rstu_relativeFilePath_absoluteFilePath_../../../Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/7fc27e6d7551d96ca7c622239a518e07/Message/MessageTemp/9e20f478899dc29eb19741386f9343c8/Image/20391576210795_.pic_hd.jpg_/Users/peidan/Library/Containers/com.tencent.xinWeChat/Data/Library/Application Support/com.tencent.xinWeChat/2.0b4.0.9/7fc27e6d7551d96ca7c622239a518e07/Message/MessageTemp/9e20f478899dc29eb19741386f9343c8/Image/20391576210795_.pic_hd.jpg > ? @ wy 7 8 9 :x_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E* F G H{ ,- 9./012 4} 7 _({0.262539, 0.353807, 0.399882, 1.000000} P_$475F428C-4056-4BAA-8914-6862AA9FFD83_({1259.1336972233346, 596.23286293102183} 4 XpathType 7 8 9 "_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _1. Data-Driven Security
_$42362779-0108-49D2-B70A-D8B42CF704D7 % & ' ) * + - 1 ]isLeftAligned_({1259.1336972233346, 630.23286293102183} 4 XpathType 7 8 9 "_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. UEBA tutorial
_$FB882303-E8A6-4A7C-BA0B-719FB2144D8B % & ' ) * + - 1 ]isLeftAligned_({1259.1336972233346, 664.23286293102183} 4 XpathType 7 8 9 "_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@}@ _3: case study: Kitsune attack detection with stacked auto encoder
_$781857FF-C10B-42BE-A003-585987A208B6 % & ' ) * + - 1 ]isLeftAligned_({1259.1336972233346, 720.23286293102183} 4 XpathType 7 8 9 "_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@s o < p s t y l e = ' t e x t - a l i g n : l e f t ; ' > < s p a n s t y l e = ' c o l o r : r g b a ( 5 2 , 7 2 , 8 3 , 1 . 0 0 0 0 0 0 ) ; f o n t : 1 8 p x " H e l v e t i c a N e u e " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " H e l v e t i c a N e u e " ; ' > 4 . M a c h i n e T r a n s l a t i o n a n d C a s e s t u d y : 0 d a y a t t a c k d e t e c t i o n w i t h m a c h i n e t r a n s l a t i o n < / s p a n > < s p a n s t y l e = ' c o l o r : r g b a ( 5 2 , 7 2 , 8 3 , 1 . 0 0 0 0 0 0 ) ; f o n t : 1 8 p x " P i n g F a n g S C " ; - c o c o a - f o n t - p o s t s c r i p t n a m e : " P i n g F a n g S C - R e g u l a r " ; ' > G u e s t L e c t u r e ) < / s p a n > < / p >_$B0585CD2-A0CD-4100-962E-6D7DBE53C915_({1149.1336972233346, 681.73286293102183} 4 XpathType 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E* F G H ,- 9./012 4 7 _({0.263000, 0.357000, 0.400000, 1.000000} P_$18C7A773-D51D-4E92-B8E5-1645703B70CE_({862.13369722333459, 665.23286293102183} 4 XpathType 7 8 9 u_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ w 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week 15. Security
_$8AC4797E-3101-421F-85A4-D40F979E0419 % & ' ) * + -ab wfj o[layoutStyle_decreasingStrokeWidth+=O % & ' ) * + - 1 ]isLeftAligned_({272.03594223288587, 651.09702957508193} 4 XpathType 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000} > ? @ 7 8 9 :_({0.573000, 0.165000, 0.647000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _4. Case study: FT-Tree
_$662B4D1D-C1E1-41B2-A089-62862E30C3BB % & ' ) * + - 1 ]isLeftAligned_({272.03594223288587, 685.09702957508193} 4 XpathType 7 8 9 : _({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@t _5. Case Study: LogParsing DSN 2016
_$24232E1B-AE58-4CE9-A641-953BB248D8DE % & ' ) * + - 1 "& *]isLeftAligned_({272.03594223288587, 719.09702957508193} 4 XpathType 7 8 9 : _({0.149000, 0.733000, 0.820000, 1.000000} > ? @ #% 7 8 9 :$_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ( _6. Assignment 2 Introduction
_$C35536C8-08B6-4C10-9DDB-9D73D811CC35 % & ', ) * + - 1./ 48 <]isLeftAligned_){-274.96405776711413, 719.09702957508193} 401 XpathType 7 8 9 :2_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 57 7 8 9 :6_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H : _3. Clustering
_$7D4EE90D-25E5-4D12-B4F0-D9CBD15BE446 % & '> ) * + - 1@A FJ N]isLeftAligned_){-261.96405776711413, 685.09702957508193} 4BC XpathType 7 8 9 :D_({0.573000, 0.165000, 0.647000, 1.000000} > ? @ GI 7 8 9 :H_({0.573000, 0.165000, 0.647000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H L _2.Similarity
_$40A29EBD-AE2F-4E07-88AD-C60E6651D0EA % & 'P ) * + - 1RS X\ `]isLeftAligned_){-340.96405776711413, 651.09702957508193} 4TU XpathType 7 8 9 :V_({0.992000, 0.714000, 0.051000, 1.000000} > ? @ Y[ 7 8 9 :Z_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ^ _1. Learning from text
_$12A3E929-BD42-4943-BBAF-DB7973F9C136_){-100.96405776711413, 654.09702957508193} 4cd XpathType 7 8 9 ue_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ wgi 7 8 9 h_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H l _Week 8: Log Parsing and Anomaly Detection (I)
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