3. Brief Introduction to assignments and projects
_$082BC8E6-20D9-4B95-BFA3-7DAEA69CF604 % & ' N ) * + - 1 P Q V Z ^]isLeftAligned_){193.45582932691855, -459.85937499999329} 4 R S XpathType 7 8 9 : T_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ W Y 7 8 9 : X_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H \ _4. Video Streaming Basics
_$7A7B0A53-648F-42E0-9A62-FCC81924BEB7 % & ' ` ) * + - 1 b c h l p]isLeftAligned_*{-384.54417067308145, -470.85937499999329} 4 d e XpathType 7 8 9 : f_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ i k 7 8 9 : j_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H n _2. Introduction to AIOps
_$C5F94B42-3DA4-459A-9AEF-09C0574A7E11 % & ' r ) * + - 1 t u z ~ ]isLeftAligned_*{-419.54417067308145, -504.85937499999329} 4 v w XpathType 7 8 9 : x_({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. Introduction to the course
_$91FAA29A-7F82-4887-B9FE-F4E14E8E8052_*{-119.54417067308145, -504.35937499999329} 4 XpathType 7 8 9 #@ _({0.102000, 0.333000, 0.412000, 1.000000} > ? @ 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _Week1: Introduction
_$BC37CA04-D4A3-45EE-8EBD-BEB89926C6DB % & ' ) * + - )* .2 7[layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_){1210.5945245353371, -438.40977095479326} 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_){1210.5945245353371, -404.40977095479326} 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 _6. Case Study: Log Anomaly Detection (ISSRE 2016)
_$071AEFBA-EE33-4989-886E-C7F49F82CA04 % & ' ) * + - 1 ]isLeftAligned_){1210.5945245353371, -348.40977095479326} 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 _7. Case study: DeepLog
_$3C42DFC6-239D-433F-95F2-26B4220B2AA2 % & ' ) * + - 1 ]isLeftAligned_){1210.5945245353371, -314.40977095479326} 4 XpathType 7 8 9 : _({0.763000, 0.033000, 0.057000, 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 _8. Case study: LogTransfer
_$9DB0B2D2-CA55-431D-B301-51F6741A6124 % & ' ) * + - 1 ]isLeftAligned_){596.59452453533709, -325.40977095479298} 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 _4. Transfer Learning
_$9ACFBB19-6AA9-440A-9B46-24B37AADC26C % & ' ) * + - 1 ]isLeftAligned_){702.59452453533709, -359.40977095479298} 4 XpathType 7 8 9 : _){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 7 8 9 : _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3.SVM
_$ED7BC03F-7487-4278-8DC3-3C67EF09E084 % & ' ) * + - 1 ]isLeftAligned_({699.59452453533709, -393.4097709547932} 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. PCA
_$A971042E-166A-4063-B74B-AB4F3BE9FF41 % & ' ) * + - 1 $ (]isLeftAligned_){588.59452453533709, -427.40977095479326} 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. Learning from text
_$12A3E929-BD42-4943-BBAF-DB7973F9C136_){828.59452453533709, -407.40977095479326} 4+, XpathType 7 8 9 -_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ /1 7 8 9 0_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H 4 _Week 11&:12 Log Parsing and Anomaly Detection (I)
_$8F6906E0-8A06-401B-8D86-5AB4AD68C6D0 % & '9 ) * +: -; [layoutStyle_decreasingStrokeWidth<Oas % & '= ) * + - 1?@ EI N]isLeftAligned_){192.34383296966553, -320.07251739501953} 4AB XpathType 7 8 9 :C_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ FH 7 8 9 :G_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GJ L#@@ _3. Storytelling with Visualization
_$CDE9AFE4-C997-47FA-BFF2-F638B3E1D734 % & 'P ) * + - 1RS X\ `]isLeftAligned_){192.34383296966553, -286.07251739501953} 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 ^ _4. Introduction to Visualization
_$8C0C86B9-1EE0-45A5-ABAC-4EC647B35550 % & 'b ) * + - 1de jn r]isLeftAligned_){192.34383296966553, -252.07251739501953} 4fg XpathType 7 8 9 :h_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ km 7 8 9 :l_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H p _5.Assignment 1 Introduction
_$8D52987B-6BE2-4D22-AD64-B7F64B6939D4 % & 't ) * + - 1vw | ]isLeftAligned_*{-334.65616703033447, -269.07251739501953} 4xy XpathType 7 8 9 :z_({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. ANM website
_$99643FF1-1EA2-4A46-8A85-09B7C8C80D18 % & ' ) * + - 1 ]isLeftAligned_*{-429.65616703033447, -303.07251739501953} 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. Student Self-Introduction
_$157D8A5C-CAF6-47F2-9CF4-D7113E6695E1_*{-134.65616703033447, -304.57251739501953} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 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 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 > _$74E73EA1-9B86-4583-999A-A74DCDC1CEAE % & ' ) * + - [layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_){1215.8281918181676, -163.81167569526468} 4 XpathType 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@z _3. case study: TraceAnomaly (Guest Lecture)
_$EE0B6FD7-3EC4-46DA-BB86-B6D99AA22202 % & ' ) * + - 1 ]isLeftAligned_){1215.8281918181676, -129.81167569526468} 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. Case study: MonitorRank
_$02179329-48CF-4A15-B2D1-85B52BC6AF31 % & ' ) * + - 1 ]isLeftAligned_){639.82819181816762, -129.81167569526468} 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. Random Walk
_$12F0B59C-4905-435B-AC73-5E8EBFA92B40 % & ' ) * + - 1 ]isLeftAligned_){586.82819181816762, -163.81167569526468} 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 _1. Microservice Tutorial
_$969EE328-C71A-4C97-9854-EAE550F8FE80_){844.82819181816762, -177.81167569526468} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 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 _Week 13: Trace Anomaly Detection and Localization
_$34C06FEE-2776-4184-938A-D5B66364D4FD % & ' ) * + -<= AE J[layoutStyle_decreasingStrokeWidth* % & ' ) * + - 1 ]isLeftAligned_){151.10258674621582, -164.88486862182617} 4 XpathType 7 8 9 : _({0.049000, 0.633000, 0.720000, 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 _1. SIGCOMM 2011 Case Study
_$004A8931-AA9D-4D54-B624-39CC438BEAEC % & ' ) * + - 1 !% )]isLeftAligned_){151.10258674621582, -130.88486862182617} 4 XpathType 7 8 9 : _({0.220000, 0.576000, 0.216000, 1.000000} > ? @ "$ 7 8 9 :#_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ' _2. Correlation and Regression
_$DA2C3479-6DDA-4167-9BDC-486B163D510D % & '+ ) * + - 1-. 37 ;]isLeftAligned_%{151.10259246826172, -96.89013671875} 4/0 XpathType 7 8 9 :1_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 46 7 8 9 :5_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H 9 _3. Information Gain
_$3027BCF4-8882-4057-9107-5E89567FA58F_*{-150.89741325378418, -147.38486862182617} 4>? XpathType 7 8 9 @_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ BD 7 8 9 C_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H G _Week 3: Correlation
_$3E49CA99-A90D-4AE6-94C5-39494EEE7616 % & 'L ) * +M -N [layoutStyle_decreasingStrokeWidthOas % & 'P ) * + - 1RS X\ `]isLeftAligned_'{1022.746658743546, 40.225449357025923} 4TU XpathType 7 8 9 :V_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ Y[ 7 8 9 :Z_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H ^ _1. Multi-Instance Learning
_$E848ED9E-AEDF-4501-8C9E-A1FD7890E9AF % & 'b ) * + - 1de jn r]isLeftAligned_'{1022.746658743546, 74.225449357025923} 4fg XpathType 7 8 9 :h_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ km 7 8 9 :l_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H p _2. GBDT
_$46198056-B094-4919-9ECE-5F4828C0CE2A % & 't ) * + - 1vw | ]isLeftAligned_'{1022.746658743546, 108.22544935702592} 4xy XpathType 7 8 9 :z_({0.149000, 0.733000, 0.820000, 1.000000} > ? @ } 7 8 9 :~_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@ _3. Case studies: Alert Predictions, Ranking, Storm handling (FSE, INFOCOM, ICSE SEIP 2020)
_$E6EEB1CB-E53C-40F7-B603-1572852C96C8_({731.74665874354605, 54.225449357025923} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 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 _Week 14. Incident Management
_$11DE0D48-5FA3-4D65-BD9A-BF538C9B73D0 % & ' ) * + - [layoutStyle_decreasingStrokeWidth % & ' ) * + - 1 ]isLeftAligned_({181.32570648193359, 180.34754943847656} 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 _1. Decision Trees
_$6D212CF7-5E37-4A20-8114-7ED383DB0ACF % & ' ) * + - 1 ]isLeftAligned_({181.32570648193359, 214.34754943847656} 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 _2. SIGCOMM 2013 Case Study
_$4A5E4EA6-C8CF-4838-90D3-33318EA89FEE % & ' ) * + - 1 ]isLeftAligned_({181.32570648193359, 248.34754943847656} 4 XpathType 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000} > ? @ 7 8 9 :_({0.220000, 0.576000, 0.216000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3. Feature Selection
_$D4A68ABF-DA46-4089-B641-D89442D0D844 % & ' ) * + - 1 ]isLeftAligned_({181.32570648193359, 282.34754943847656} 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 _4. Accuracy_CV_Overfitting
_$6D13F464-9468-4912-8391-D5D79DF44DEA_){-146.67429351806641, 214.84754943847656} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 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 _Week 4: Decision Tree
_$79B6D81D-EB94-4BB2-B642-47D1BB109712 % & ' ) * + -NO SW \[layoutStyle_decreasingStrokeWidth % & ' ) * + -/0 59 M]isLeftAligned % & ' ) * + - 1 ]isLeftAligned_({1114.5388936793554, 263.27146278543705} 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. UEBA tutorial
_$FB882303-E8A6-4A7C-BA0B-719FB2144D8B % & ' ) * + - 1 ]isLeftAligned_({1114.5389547145116, 297.80529152078861} 4 XpathType 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _2. CNN
_$B661226C-F167-42F0-B8C6-B20135FBEBF7 % & ' ) * + - 1 %) .]isLeftAligned_({1114.5389547145116, 331.80529152078861} 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 " ; ' > 3 . 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 : Z e r o 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_({1004.5389547145116, 321.30529152078861} 412 XpathType 7 8 9 :3_({0.071000, 0.529000, 0.871000, 1.000000} > ? @ 68 7 8 9 :7_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E: F G H; KYfontStyle<= 9>?@AB DE G VitalicXfontSize]strikethroughXfontNameYalignmentYunderlineTbold#@2 _({0.263000, 0.357000, 0.400000, 1.000000}]HelveticaNeue P_$18C7A773-D51D-4E92-B8E5-1645703B70CE_({717.53895471451165, 304.80529152078861} 4PQ XpathType 7 8 9 R_({0.102000, 0.333000, 0.412000, 1.000000} > ? @ TV 7 8 9 U_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H Y _Week 15. Security
_$8AC4797E-3101-421F-85A4-D40F979E0419 % & '^ ) * +_ -` [layoutStyle_decreasingStrokeWidthas % & 'b ) * + - 1de jn r]isLeftAligned_({235.10189008712769, 351.64667510986328} 4fg XpathType 7 8 9 :h_({0.049000, 0.633000, 0.720000, 1.000000} > ? @ km 7 8 9 :l_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H p _7. Case study: Opprentice
_$224C7255-1052-4675-8C81-43182310CD7E % & 't ) * + - 1vw | ]isLeftAligned_({235.10189008712769, 385.64667510986328} 4xy XpathType 7 8 9 :z_){-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 _8. Case study: Donut
_$417534E5-9371-4919-9FAC-0097FF87147E % & ' ) * + - 1 ]isLeftAligned_({235.10189008712769, 419.64667510986328} 4 XpathType 7 8 9 :_({0.049000, 0.633000, 0.720000, 1.000000} > ? @ 7 8 9 :_({0.149000, 0.733000, 0.820000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GJ _9.Case study: OmniAnomaly&Interfusion
_$E70FF620-8F82-4F75-B5EB-CB5E24DA59E1 % & ' ) * + - 1 ]isLeftAligned_){-444.89810991287231, 492.64667510986328} 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 _6. Deep Sequence Learning
_$0A391C4B-DE0F-4D73-90B0-04A6C44BEFAE % & ' ) * + - 1 ]isLeftAligned_){-431.89810991287231, 458.64667510986328} 4 XpathType 7 8 9 :_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ 7 8 9 :_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GJ _5. Deep Generative Model
_$C708DC9F-CE28-4CF6-AB86-28E1A3C12BA3 % & ' ) * + - 1 ]isLeftAligned_){-358.89810991287231, 424.64667510986328} 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. Deep Learning
_$0F13BE21-9FF3-4E74-9D23-3E2125716CB4 % & ' ) * + - 1 ]isLeftAligned_){-360.89810991287231, 390.64667510986328} 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 _3. RandomForest
_$46E59146-DA19-4159-8432-E08A4679055A % & ' ) * + - 1 ]isLeftAligned_){-427.89810991287231, 334.64667510986328} 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 _2. Time series algorithms Tutorial;TSD;
_$602B08AC-130F-43AD-922F-5BB886012C78 % & ' ) * + - 1 ]isLeftAligned_){-499.89810991287231, 278.64667510986328} 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 _1. Time-Series Anomaly Detection Service at Microsoft
_$1A01EFEB-99DA-40CD-ABD3-3B9F91153678_){-148.89810991287231, 354.64667510986328} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 1.000000} > ? @ 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G #@r _Week 5&6&8: Time Series Anomaly Detection
_$C408230B-0627-4B2D-9C53-F44A8B27C3B3 % & ' ) * + - 1 &[layoutStyle_decreasingStrokeWidth_({760.27053833007812, 522.65964508056641} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 1.000000} > ? @ 7 8 9 _({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G! ##@| _Week 16. Project Presentation
_$8591DE3F-F5E6-46BD-BDDC-5B7C02A94302 % & '( ) * +) -* [layoutStyle_decreasingStrokeWidth+>Pbt % & ', ) * + - 1./ 48 =]isLeftAligned_'{226.47835922241211, 639.6644287109375} 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 G9 ;#@uP _6.Anomaly Localization in multi-attribute KPIs: Case Study: Squeeze
_$5C445F9B-E2B1-4E8E-97E1-A5F2A2B7489D % & '? ) * + - 1AB GK O]isLeftAligned_'{226.47835922241211, 695.6644287109375} 4CD XpathType 7 8 9 :E_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ HJ 7 8 9 :I_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H M _7. Anomaly Localization in multiple KPIs: case study FluxRank
_$D2935350-6507-4F08-9B13-0466CEBAD720 % & 'Q ) * + - 1ST Y] a]isLeftAligned_({-366.52164077758789, 746.6644287109375} 4UV XpathType 7 8 9 :W_({0.992000, 0.714000, 0.051000, 1.000000} > ? @ Z\ 7 8 9 :[_({0.992000, 0.714000, 0.051000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _ _5.Logistic Regression
_$BFB30AF1-6966-41CE-8DFB-072E1B3EF53F % & 'c ) * + - 1ef ko s]isLeftAligned_({-354.52164077758789, 712.6644287109375} 4gh XpathType 7 8 9 :i_){-0.029000, 0.429000, 0.771000, 1.000000} > ? @ ln 7 8 9 :m_({0.071000, 0.529000, 0.871000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F GJ q _4. Learning-to-Rank
_$16DA6AC6-394C-4BEF-AD81-CBB92AAAD645 % & 'u ) * + - 1wx } ]isLeftAligned_({-253.52164077758789, 678.6644287109375} 4yz XpathType 7 8 9 :{_({0.863000, 0.133000, 0.157000, 1.000000} > ? @ ~ 7 8 9 :_({0.863000, 0.133000, 0.157000, 1.000000}_({1.000000, 1.000000, 1.000000, 1.000000} E F G H _3. KDE
_$C43DCA7E-546D-4D11-913D-235EC52DD925 % & ' ) * + - 1 ]isLeftAligned_({-294.52164077758789, 644.6644287109375} 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. Clustering
_$7D4EE90D-25E5-4D12-B4F0-D9CBD15BE446 % & ' ) * + - 1 ]isLeftAligned_({-281.52164077758789, 610.6644287109375} 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 _1.Similarity
_$40A29EBD-AE2F-4E07-88AD-C60E6651D0EA_({-120.52164077758789, 649.6644287109375} 4 XpathType 7 8 9 _({0.102000, 0.333000, 0.412000, 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 _Week 9&10: KPI Anomaly Localization
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