SlideShare uma empresa Scribd logo
1 de 12
Baixar para ler offline
Predicting Cancel Users
   in Offline Events
                @y_benjo
      http://d.hatena.ne.jp/repose/
Today’s LT: ML
   Machine Learning
Offline Events
      Meetup
     User Conf
     Yaki-ton
Problem
Cancel Users
概要



•   ファッキンドタキャン野郎を予測し
    たい
Solve:
Predict #Cancel
Data


• Source: ATND Beta (atnd.org/events/)
• 17,343 Events (ignore outliers)
• 99,911 Users
• Model: Support Vector Regression
Results
 Mean Square Error
       15
                                             11.4383
         12

         9

         6
Better
         3

         0
                     Average       Title   Title + Body
Features

  word               score
hbstudy              1.475
bpstudy              1.174
 増員                  1.062
appbank              0.771
 1981                0.709
Future work

• Why bad ?
 •   Output minus #cancel
 •   Too simple: Use Metadata(location, time, similar events ...)


• Another approach: User based model
 •   Make Blacklist

Mais conteúdo relacionado

Semelhante a Predicting Cancel Users in Offline Events

Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinyMaking Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinyJo-fai Chow
 
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinyMaking Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinySri Ambati
 
Super Sizing Youtube with Python
Super Sizing Youtube with PythonSuper Sizing Youtube with Python
Super Sizing Youtube with Pythondidip
 
Spark Application Development Made Easy
Spark Application Development Made EasySpark Application Development Made Easy
Spark Application Development Made EasyDataWorks Summit
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks
 
CM NCCU Class2
CM NCCU Class2CM NCCU Class2
CM NCCU Class2志明 陳
 
Data Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLData Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLPaco Nathan
 
Fully Automated QA System For Large Scale Search And Recommendation Engines U...
Fully Automated QA System For Large Scale Search And Recommendation Engines U...Fully Automated QA System For Large Scale Search And Recommendation Engines U...
Fully Automated QA System For Large Scale Search And Recommendation Engines U...Spark Summit
 
A look inside pandas design and development
A look inside pandas design and developmentA look inside pandas design and development
A look inside pandas design and developmentWes McKinney
 
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify Dataconomy Media
 
The Data Janitor Returns | Daniel Molnar | DN18
The Data Janitor Returns | Daniel Molnar | DN18The Data Janitor Returns | Daniel Molnar | DN18
The Data Janitor Returns | Daniel Molnar | DN18DataconomyGmbH
 
Data Workflows for Machine Learning - SF Bay Area ML
Data Workflows for Machine Learning - SF Bay Area MLData Workflows for Machine Learning - SF Bay Area ML
Data Workflows for Machine Learning - SF Bay Area MLPaco Nathan
 
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014Austin Ogilvie
 
SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 CareerBuilder.com
 
Android Bootstrap
Android BootstrapAndroid Bootstrap
Android Bootstrapdonnfelker
 
Machine Learning with Azure
Machine Learning with AzureMachine Learning with Azure
Machine Learning with AzureBarbara Fusinska
 
Software Development Whats & Whys
Software Development Whats & Whys Software Development Whats & Whys
Software Development Whats & Whys Harun Yardımcı
 
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010Data Applications and Infrastructure at LinkedIn__HadoopSummit2010
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010Yahoo Developer Network
 

Semelhante a Predicting Cancel Users in Offline Events (20)

Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinyMaking Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
 
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and ShinyMaking Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
Making Multimillion-Dollar Baseball Decisions with H2O AutoML, LIME and Shiny
 
Os Solomon
Os SolomonOs Solomon
Os Solomon
 
Super Sizing Youtube with Python
Super Sizing Youtube with PythonSuper Sizing Youtube with Python
Super Sizing Youtube with Python
 
Spark Application Development Made Easy
Spark Application Development Made EasySpark Application Development Made Easy
Spark Application Development Made Easy
 
DIY Java Profiling
DIY Java ProfilingDIY Java Profiling
DIY Java Profiling
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With Data
 
CM NCCU Class2
CM NCCU Class2CM NCCU Class2
CM NCCU Class2
 
Data Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAMLData Workflows for Machine Learning - Seattle DAML
Data Workflows for Machine Learning - Seattle DAML
 
Fully Automated QA System For Large Scale Search And Recommendation Engines U...
Fully Automated QA System For Large Scale Search And Recommendation Engines U...Fully Automated QA System For Large Scale Search And Recommendation Engines U...
Fully Automated QA System For Large Scale Search And Recommendation Engines U...
 
A look inside pandas design and development
A look inside pandas design and developmentA look inside pandas design and development
A look inside pandas design and development
 
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify
DN18 | The Data Janitor Returns | Daniel Molnar | Oberlo/Shopify
 
The Data Janitor Returns | Daniel Molnar | DN18
The Data Janitor Returns | Daniel Molnar | DN18The Data Janitor Returns | Daniel Molnar | DN18
The Data Janitor Returns | Daniel Molnar | DN18
 
Data Workflows for Machine Learning - SF Bay Area ML
Data Workflows for Machine Learning - SF Bay Area MLData Workflows for Machine Learning - SF Bay Area ML
Data Workflows for Machine Learning - SF Bay Area ML
 
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014
Applied Data Science: Building a Beer Recommender | Data Science MD - Oct 2014
 
SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018 SDSC18 and DSATL Meetup March 2018
SDSC18 and DSATL Meetup March 2018
 
Android Bootstrap
Android BootstrapAndroid Bootstrap
Android Bootstrap
 
Machine Learning with Azure
Machine Learning with AzureMachine Learning with Azure
Machine Learning with Azure
 
Software Development Whats & Whys
Software Development Whats & Whys Software Development Whats & Whys
Software Development Whats & Whys
 
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010Data Applications and Infrastructure at LinkedIn__HadoopSummit2010
Data Applications and Infrastructure at LinkedIn__HadoopSummit2010
 

Mais de ybenjo

Modeling intransitivity in matchup and comparison data (WSDM 2016)
Modeling intransitivity in matchup and comparison data (WSDM 2016)Modeling intransitivity in matchup and comparison data (WSDM 2016)
Modeling intransitivity in matchup and comparison data (WSDM 2016)ybenjo
 
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)ybenjo
 
Personalized next-song recommendation in online karaokes(Recsys 2013)
Personalized next-song recommendation in online karaokes(Recsys 2013)Personalized next-song recommendation in online karaokes(Recsys 2013)
Personalized next-song recommendation in online karaokes(Recsys 2013)ybenjo
 
首都圏における帰宅困難者のモデリング 最終報告
首都圏における帰宅困難者のモデリング 最終報告首都圏における帰宅困難者のモデリング 最終報告
首都圏における帰宅困難者のモデリング 最終報告ybenjo
 
首都圏における帰宅困難者のモデリング 中間報告
首都圏における帰宅困難者のモデリング 中間報告首都圏における帰宅困難者のモデリング 中間報告
首都圏における帰宅困難者のモデリング 中間報告ybenjo
 
Topic Model Survey (wsdm2012)
Topic Model Survey (wsdm2012)Topic Model Survey (wsdm2012)
Topic Model Survey (wsdm2012)ybenjo
 
Overcoming browser cookie churn with clustering in wsdm2012 reading
Overcoming browser cookie churn with clustering in wsdm2012 readingOvercoming browser cookie churn with clustering in wsdm2012 reading
Overcoming browser cookie churn with clustering in wsdm2012 readingybenjo
 
Link prediction
Link predictionLink prediction
Link predictionybenjo
 
anohana
anohanaanohana
anohanaybenjo
 
Preserving Personalized Pagerank in Subgraphs(ICML 2011)
Preserving Personalized Pagerank in Subgraphs(ICML 2011) Preserving Personalized Pagerank in Subgraphs(ICML 2011)
Preserving Personalized Pagerank in Subgraphs(ICML 2011) ybenjo
 
AJACS HONGO8 (mining in DBCLS)
AJACS HONGO8 (mining in DBCLS)AJACS HONGO8 (mining in DBCLS)
AJACS HONGO8 (mining in DBCLS)ybenjo
 
patent analysis(LDA) and spotfire
patent analysis(LDA) and spotfirepatent analysis(LDA) and spotfire
patent analysis(LDA) and spotfireybenjo
 
Query Suggestion @ tokyotextmining#2
Query Suggestion @ tokyotextmining#2Query Suggestion @ tokyotextmining#2
Query Suggestion @ tokyotextmining#2ybenjo
 
useR!2010 matome
useR!2010 matomeuseR!2010 matome
useR!2010 matomeybenjo
 
AJACS17
AJACS17AJACS17
AJACS17ybenjo
 
R's anti sparseness
R's anti sparsenessR's anti sparseness
R's anti sparsenessybenjo
 
とあるサイトの禁書目録(アクセスログ)
とあるサイトの禁書目録(アクセスログ)とあるサイトの禁書目録(アクセスログ)
とあるサイトの禁書目録(アクセスログ)ybenjo
 

Mais de ybenjo (17)

Modeling intransitivity in matchup and comparison data (WSDM 2016)
Modeling intransitivity in matchup and comparison data (WSDM 2016)Modeling intransitivity in matchup and comparison data (WSDM 2016)
Modeling intransitivity in matchup and comparison data (WSDM 2016)
 
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)
Nonlinear latent factorization by embedding multiple user interests(Recsys 2013)
 
Personalized next-song recommendation in online karaokes(Recsys 2013)
Personalized next-song recommendation in online karaokes(Recsys 2013)Personalized next-song recommendation in online karaokes(Recsys 2013)
Personalized next-song recommendation in online karaokes(Recsys 2013)
 
首都圏における帰宅困難者のモデリング 最終報告
首都圏における帰宅困難者のモデリング 最終報告首都圏における帰宅困難者のモデリング 最終報告
首都圏における帰宅困難者のモデリング 最終報告
 
首都圏における帰宅困難者のモデリング 中間報告
首都圏における帰宅困難者のモデリング 中間報告首都圏における帰宅困難者のモデリング 中間報告
首都圏における帰宅困難者のモデリング 中間報告
 
Topic Model Survey (wsdm2012)
Topic Model Survey (wsdm2012)Topic Model Survey (wsdm2012)
Topic Model Survey (wsdm2012)
 
Overcoming browser cookie churn with clustering in wsdm2012 reading
Overcoming browser cookie churn with clustering in wsdm2012 readingOvercoming browser cookie churn with clustering in wsdm2012 reading
Overcoming browser cookie churn with clustering in wsdm2012 reading
 
Link prediction
Link predictionLink prediction
Link prediction
 
anohana
anohanaanohana
anohana
 
Preserving Personalized Pagerank in Subgraphs(ICML 2011)
Preserving Personalized Pagerank in Subgraphs(ICML 2011) Preserving Personalized Pagerank in Subgraphs(ICML 2011)
Preserving Personalized Pagerank in Subgraphs(ICML 2011)
 
AJACS HONGO8 (mining in DBCLS)
AJACS HONGO8 (mining in DBCLS)AJACS HONGO8 (mining in DBCLS)
AJACS HONGO8 (mining in DBCLS)
 
patent analysis(LDA) and spotfire
patent analysis(LDA) and spotfirepatent analysis(LDA) and spotfire
patent analysis(LDA) and spotfire
 
Query Suggestion @ tokyotextmining#2
Query Suggestion @ tokyotextmining#2Query Suggestion @ tokyotextmining#2
Query Suggestion @ tokyotextmining#2
 
useR!2010 matome
useR!2010 matomeuseR!2010 matome
useR!2010 matome
 
AJACS17
AJACS17AJACS17
AJACS17
 
R's anti sparseness
R's anti sparsenessR's anti sparseness
R's anti sparseness
 
とあるサイトの禁書目録(アクセスログ)
とあるサイトの禁書目録(アクセスログ)とあるサイトの禁書目録(アクセスログ)
とあるサイトの禁書目録(アクセスログ)
 

Último

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersNicole Novielli
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embeddingZilliz
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESmohitsingh558521
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demoHarshalMandlekar2
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 

Último (20)

Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
A Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software DevelopersA Journey Into the Emotions of Software Developers
A Journey Into the Emotions of Software Developers
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Training state-of-the-art general text embedding
Training state-of-the-art general text embeddingTraining state-of-the-art general text embedding
Training state-of-the-art general text embedding
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICESSALESFORCE EDUCATION CLOUD | FEXLE SERVICES
SALESFORCE EDUCATION CLOUD | FEXLE SERVICES
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Sample pptx for embedding into website for demo
Sample pptx for embedding into website for demoSample pptx for embedding into website for demo
Sample pptx for embedding into website for demo
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 

Predicting Cancel Users in Offline Events