SlideShare uma empresa Scribd logo

Open Source Tools & Data Science Competitions

•Transferir como PPT, PDF•
•
O
odsc

This talk shares the presenter’s experience with open source tools in data science competitions. In the past several years Kaggle and other competitions have created a large online community of data scientists. In addition to competing with each other for fame and glory, members of this community also generously share knowledge, insights using forum and open source code. The open competition and sharing have resulted in rapid progress in the sophistication of the entire community. This presentation will briefly cover this journey from a competitor’s perspective, and share hands on tips on some open source tools proven popular and useful in recent competitions.

Tecnologia
1 de 27
OPEN SOURCE TOOLS & DS COMPETITIONS Owen Zhang O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendat asci
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions
Open Source Tools & Data Science Competitions

Recomendados

Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its authorKaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its authorVivian S. Zhang
 
Feature Importance Analysis with XGBoost in Tax audit
Feature Importance Analysis with XGBoost in Tax auditFeature Importance Analysis with XGBoost in Tax audit
Feature Importance Analysis with XGBoost in Tax auditMichael BENESTY
 
Xgboost
XgboostXgboost
XgboostVivian S. Zhang
 
Winning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangWinning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangVivian S. Zhang
 
How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ? How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ? HackerEarth
 
XGBoost: the algorithm that wins every competition
XGBoost: the algorithm that wins every competitionXGBoost: the algorithm that wins every competition
XGBoost: the algorithm that wins every competitionJaroslaw Szymczak
 
Feature Engineering
Feature EngineeringFeature Engineering
Feature EngineeringHJ van Veen
 
Tips and tricks to win kaggle data science competitions
Tips and tricks to win kaggle data science competitionsTips and tricks to win kaggle data science competitions
Tips and tricks to win kaggle data science competitionsDarius Barušauskas
 

Recomendados

Kaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its authorKaggle Winning Solution Xgboost algorithm -- Let us learn from its author
Kaggle Winning Solution Xgboost algorithm -- Let us learn from its authorVivian S. Zhang
 
Feature Importance Analysis with XGBoost in Tax audit
Feature Importance Analysis with XGBoost in Tax auditFeature Importance Analysis with XGBoost in Tax audit
Feature Importance Analysis with XGBoost in Tax auditMichael BENESTY
 
Xgboost
XgboostXgboost
XgboostVivian S. Zhang
 
Winning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangWinning data science competitions, presented by Owen Zhang
Winning data science competitions, presented by Owen ZhangVivian S. Zhang
 
How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ? How to Win Machine Learning Competitions ?
How to Win Machine Learning Competitions ? HackerEarth
 
XGBoost: the algorithm that wins every competition
XGBoost: the algorithm that wins every competitionXGBoost: the algorithm that wins every competition
XGBoost: the algorithm that wins every competitionJaroslaw Szymczak
 
Feature Engineering
Feature EngineeringFeature Engineering
Feature EngineeringHJ van Veen
 
Tips and tricks to win kaggle data science competitions
Tips and tricks to win kaggle data science competitionsTips and tricks to win kaggle data science competitions
Tips and tricks to win kaggle data science competitionsDarius Barušauskas
 
Tips for data science competitions
Tips for data science competitionsTips for data science competitions
Tips for data science competitionsOwen Zhang
 
Feature Engineering
Feature EngineeringFeature Engineering
Feature EngineeringSri Ambati
 
CLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptxCLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptxagniva pradhan
 
Feature Engineering
Feature Engineering Feature Engineering
Feature Engineering odsc
 
Graph Neural Network (한국어)
Graph Neural Network (한국어)Graph Neural Network (한국어)
Graph Neural Network (한국어)Jungwon Kim
 
Python Scipy Numpy
Python Scipy NumpyPython Scipy Numpy
Python Scipy NumpyGirish Khanzode
 
CSC446: Pattern Recognition (LN6)
CSC446: Pattern Recognition (LN6)CSC446: Pattern Recognition (LN6)
CSC446: Pattern Recognition (LN6)Mostafa G. M. Mostafa
 
Demystifying Xgboost
Demystifying XgboostDemystifying Xgboost
Demystifying Xgboosthalifaxchester
 
Winning Data Science Competitions
Winning Data Science CompetitionsWinning Data Science Competitions
Winning Data Science CompetitionsJeong-Yoon Lee
 
Decision trees in Machine Learning
Decision trees in Machine Learning Decision trees in Machine Learning
Decision trees in Machine Learning Mohammad Junaid Khan
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Simplilearn
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnSarah Guido
 
The How and Why of Feature Engineering
The How and Why of Feature EngineeringThe How and Why of Feature Engineering
The How and Why of Feature EngineeringAlice Zheng
 
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...Edureka!
 
From NLP to text mining
From NLP to text mining From NLP to text mining
From NLP to text mining Yi-Shin Chen
 
boosting algorithm
boosting algorithmboosting algorithm
boosting algorithmPrithvi Paneru
 
Feature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive modelsFeature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive modelsGabriel Moreira
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clusteringishmecse13
 
Introduction to XGBoost
Introduction to XGBoostIntroduction to XGBoost
Introduction to XGBoostJoonyoung Yi
 
An Introduction to Bazel
An Introduction to BazelAn Introduction to Bazel
An Introduction to BazelMatt Turner
 
Understanding the Chief Data Officer
Understanding the Chief Data Officer Understanding the Chief Data Officer
Understanding the Chief Data Officer odsc
 
Machine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge DiscoveryMachine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge Discoveryodsc
 

Mais conteúdo relacionado

Mais procurados

Tips for data science competitions
Tips for data science competitionsTips for data science competitions
Tips for data science competitionsOwen Zhang
 
Feature Engineering
Feature EngineeringFeature Engineering
Feature EngineeringSri Ambati
 
CLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptxCLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptxagniva pradhan
 
Feature Engineering
Feature Engineering Feature Engineering
Feature Engineering odsc
 
Graph Neural Network (한국어)
Graph Neural Network (한국어)Graph Neural Network (한국어)
Graph Neural Network (한국어)Jungwon Kim
 
Winning Data Science Competitions
Winning Data Science CompetitionsWinning Data Science Competitions
Winning Data Science CompetitionsJeong-Yoon Lee
 
Decision trees in Machine Learning
Decision trees in Machine Learning Decision trees in Machine Learning
Decision trees in Machine Learning Mohammad Junaid Khan
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Simplilearn
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnSarah Guido
 
The How and Why of Feature Engineering
The How and Why of Feature EngineeringThe How and Why of Feature Engineering
The How and Why of Feature EngineeringAlice Zheng
 
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...Edureka!
 
From NLP to text mining
From NLP to text mining From NLP to text mining
From NLP to text mining Yi-Shin Chen
 
Feature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive modelsFeature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive modelsGabriel Moreira
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clusteringishmecse13
 
Introduction to XGBoost
Introduction to XGBoostIntroduction to XGBoost
Introduction to XGBoostJoonyoung Yi
 
An Introduction to Bazel
An Introduction to BazelAn Introduction to Bazel
An Introduction to BazelMatt Turner
 

Mais procurados (20)

Tips for data science competitions
Tips for data science competitionsTips for data science competitions
Tips for data science competitions
 
Feature Engineering
Feature EngineeringFeature Engineering
Feature Engineering
 
CLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptxCLUSTER SILHOUETTES.pptx
CLUSTER SILHOUETTES.pptx
 
Feature Engineering
Feature Engineering Feature Engineering
Feature Engineering
 
Graph Neural Network (한국어)
Graph Neural Network (한국어)Graph Neural Network (한국어)
Graph Neural Network (한국어)
 
Python Scipy Numpy
Python Scipy NumpyPython Scipy Numpy
Python Scipy Numpy
 
CSC446: Pattern Recognition (LN6)
CSC446: Pattern Recognition (LN6)CSC446: Pattern Recognition (LN6)
CSC446: Pattern Recognition (LN6)
 
Demystifying Xgboost
Demystifying XgboostDemystifying Xgboost
Demystifying Xgboost
 
Winning Data Science Competitions
Winning Data Science CompetitionsWinning Data Science Competitions
Winning Data Science Competitions
 
Decision trees in Machine Learning
Decision trees in Machine Learning Decision trees in Machine Learning
Decision trees in Machine Learning
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
 
A Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-LearnA Beginner's Guide to Machine Learning with Scikit-Learn
A Beginner's Guide to Machine Learning with Scikit-Learn
 
The How and Why of Feature Engineering
The How and Why of Feature EngineeringThe How and Why of Feature Engineering
The How and Why of Feature Engineering
 
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
Naive Bayes Classifier in Python | Naive Bayes Algorithm | Machine Learning A...
 
From NLP to text mining
From NLP to text mining From NLP to text mining
From NLP to text mining
 
boosting algorithm
boosting algorithmboosting algorithm
boosting algorithm
 
Feature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive modelsFeature Engineering - Getting most out of data for predictive models
Feature Engineering - Getting most out of data for predictive models
 
Hierarchical clustering
Hierarchical clusteringHierarchical clustering
Hierarchical clustering
 
Introduction to XGBoost
Introduction to XGBoostIntroduction to XGBoost
Introduction to XGBoost
 
An Introduction to Bazel
An Introduction to BazelAn Introduction to Bazel
An Introduction to Bazel
 

Mais de odsc

Understanding the Chief Data Officer
Understanding the Chief Data Officer Understanding the Chief Data Officer
Understanding the Chief Data Officer odsc
 
Machine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge DiscoveryMachine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge Discoveryodsc
 
API Driven Development
API Driven Development API Driven Development
API Driven Development odsc
 
Mobile technology Usage by Humanitarian Programs: A Metadata Analysis
Mobile technology Usage by Humanitarian Programs: A Metadata AnalysisMobile technology Usage by Humanitarian Programs: A Metadata Analysis
Mobile technology Usage by Humanitarian Programs: A Metadata Analysisodsc
 
Productionizing Deep Learning From the Ground Up
Productionizing Deep Learning From the Ground UpProductionizing Deep Learning From the Ground Up
Productionizing Deep Learning From the Ground Upodsc
 
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and HiveBig Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hiveodsc
 
Think Breadth, Not Depth
Think Breadth, Not DepthThink Breadth, Not Depth
Think Breadth, Not Depthodsc
 
Data Science at Dow Jones: Monetizing Data, News and Information
Data Science at Dow Jones: Monetizing Data, News and InformationData Science at Dow Jones: Monetizing Data, News and Information
Data Science at Dow Jones: Monetizing Data, News and Informationodsc
 
Spark, Python and Parquet
Spark, Python and Parquet Spark, Python and Parquet
Spark, Python and Parquet odsc
 
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure MLBuilding a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure MLodsc
 
Beyond Names
Beyond NamesBeyond Names
Beyond Namesodsc
 
How Woman are Conquering the S&P 500
How Woman are Conquering the S&P 500How Woman are Conquering the S&P 500
How Woman are Conquering the S&P 500odsc
 
Domain Expertise and Unstructured Data
Domain Expertise and Unstructured DataDomain Expertise and Unstructured Data
Domain Expertise and Unstructured Dataodsc
 
Kaggle The Home of Data Science
Kaggle The Home of Data ScienceKaggle The Home of Data Science
Kaggle The Home of Data Scienceodsc
 
Machine Learning with scikit-learn
Machine Learning with scikit-learnMachine Learning with scikit-learn
Machine Learning with scikit-learnodsc
 
Bridging the Gap Between Data and Insight using Open-Source Tools
Bridging the Gap Between Data and Insight using Open-Source ToolsBridging the Gap Between Data and Insight using Open-Source Tools
Bridging the Gap Between Data and Insight using Open-Source Toolsodsc
 
Top 10 Signs of the Textpocalypse
Top 10 Signs of the TextpocalypseTop 10 Signs of the Textpocalypse
Top 10 Signs of the Textpocalypseodsc
 
The Art of Data Science
The Art of Data Science The Art of Data Science
The Art of Data Science odsc
 
Frontiers of Open Data Science Research
Frontiers of Open Data Science ResearchFrontiers of Open Data Science Research
Frontiers of Open Data Science Researchodsc
 
Agile Data
Agile DataAgile Data
Agile Dataodsc
 

Mais de odsc (20)

Understanding the Chief Data Officer
Understanding the Chief Data Officer Understanding the Chief Data Officer
Understanding the Chief Data Officer
 
Machine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge DiscoveryMachine-In-The-Loop for Knowledge Discovery
Machine-In-The-Loop for Knowledge Discovery
 
API Driven Development
API Driven Development API Driven Development
API Driven Development
 
Mobile technology Usage by Humanitarian Programs: A Metadata Analysis
Mobile technology Usage by Humanitarian Programs: A Metadata AnalysisMobile technology Usage by Humanitarian Programs: A Metadata Analysis
Mobile technology Usage by Humanitarian Programs: A Metadata Analysis
 
Productionizing Deep Learning From the Ground Up
Productionizing Deep Learning From the Ground UpProductionizing Deep Learning From the Ground Up
Productionizing Deep Learning From the Ground Up
 
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and HiveBig Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive
Big Data Infrastructure: Introduction to Hadoop with MapReduce, Pig, and Hive
 
Think Breadth, Not Depth
Think Breadth, Not DepthThink Breadth, Not Depth
Think Breadth, Not Depth
 
Data Science at Dow Jones: Monetizing Data, News and Information
Data Science at Dow Jones: Monetizing Data, News and InformationData Science at Dow Jones: Monetizing Data, News and Information
Data Science at Dow Jones: Monetizing Data, News and Information
 
Spark, Python and Parquet
Spark, Python and Parquet Spark, Python and Parquet
Spark, Python and Parquet
 
Building a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure MLBuilding a Predictive Analytics Solution with Azure ML
Building a Predictive Analytics Solution with Azure ML
 
Beyond Names
Beyond NamesBeyond Names
Beyond Names
 
How Woman are Conquering the S&P 500
How Woman are Conquering the S&P 500How Woman are Conquering the S&P 500
How Woman are Conquering the S&P 500
 
Domain Expertise and Unstructured Data
Domain Expertise and Unstructured DataDomain Expertise and Unstructured Data
Domain Expertise and Unstructured Data
 
Kaggle The Home of Data Science
Kaggle The Home of Data ScienceKaggle The Home of Data Science
Kaggle The Home of Data Science
 
Machine Learning with scikit-learn
Machine Learning with scikit-learnMachine Learning with scikit-learn
Machine Learning with scikit-learn
 
Bridging the Gap Between Data and Insight using Open-Source Tools
Bridging the Gap Between Data and Insight using Open-Source ToolsBridging the Gap Between Data and Insight using Open-Source Tools
Bridging the Gap Between Data and Insight using Open-Source Tools
 
Top 10 Signs of the Textpocalypse
Top 10 Signs of the TextpocalypseTop 10 Signs of the Textpocalypse
Top 10 Signs of the Textpocalypse
 
The Art of Data Science
The Art of Data Science The Art of Data Science
The Art of Data Science
 
Frontiers of Open Data Science Research
Frontiers of Open Data Science ResearchFrontiers of Open Data Science Research
Frontiers of Open Data Science Research
 
Agile Data
Agile DataAgile Data
Agile Data
 

Último

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfhans926745
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 

Último (20)

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 

Open Source Tools & Data Science Competitions

  • 1. OPEN SOURCE TOOLS & DS COMPETITIONS Owen Zhang O P E N D A T A S C I E N C E C O N F E R E N C E_ BOSTON 2015 @opendat asci