SlideShare una empresa de Scribd logo
1 de 6
Data Science Milan
Inaugural Talk
Gianmario Spacagna
19/05/2016
About me @gm_spacagna
• Background in Telecommunications and Distributed Systems
• (University of Cassino, Polytechnic of Turin, KTH of Stockholm)
• Experience in a few industries:
• Predictive Marketing (AgilOne, StreamSend)
• Social/Travel (Random Break)
• Cyber Security (Cisco)
• Financial Services (Barclays)
• Automotive (Pirelli)
• Areas of interest
• Building production-ready and scalable machine learning systems
• Functional Programming, Scala and Apache Spark
(check out sparkz on github)
• Contributor of the Professional Data Science Manifesto
(www.datasciencemanifesto.org)
• Organizing events and meet-ups 
About us
• 159 members on meetup
• 79 on LinkedIn
• Community of Data
Scientists, practitioners
and enthusiasts based in
the Milan area
• No profit, open group
• Goal:
• Discuss and promote data-
driven innovation
• Collaboration and sharing
of knowledge
Partnerships
• Diego Liberati, host
• , Big Data consultancy start-up
• Milan High Tech Meetup group
(www.meetup.com/Milan-High-Tech-Meetup)
Background and Interests Survey
• 80 responses so far, pretty good!
• http://goo.gl/forms/3xvJMX4KvO
• Most popular:
• Role: Data Scientist, Developer, Student/PhD, Data
Engineer
• Experience: mid-senior, junior, student/intern
• Languages: Python, R, Java, C, Matlab, Scala
• Technologies SQL/RDBMS, Notebooks, viz libs, Spark,
Hadoop
• More predictive analytics than descriptive
• Topics: Machine Learning & Deep Learning, Production
use-cases, Functional Programming, Streaming, NLP
• Summary will be available soon…
#datasciencemilan
• If you haven’t done yet, remember to join us on
http://www.meetup.com/Data-Science-Milan/
And our LinkedIn group:
https://www.linkedin.com/groups/8497363

Más contenido relacionado

La actualidad más candente

SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopSC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopBigData_Europe
 
Big data World Show 2013
Big data World Show 2013Big data World Show 2013
Big data World Show 2013minz719
 
Eurocities wg innovation utrecht
Eurocities wg innovation utrechtEurocities wg innovation utrecht
Eurocities wg innovation utrechtKatalin Gallyas
 
ODI Stories 2014-03
ODI Stories 2014-03ODI Stories 2014-03
ODI Stories 2014-03theODI
 
2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd
2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd
2015 Leonardo Martucci - Sentors frukostseminarium om dataskyddsentormss
 
SC6 Workshop 1: What can big data do for you?
SC6 Workshop 1: What can big data do for you? SC6 Workshop 1: What can big data do for you?
SC6 Workshop 1: What can big data do for you? BigData_Europe
 
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...European Data Forum
 
Tallium demo Jan 18
Tallium demo Jan 18Tallium demo Jan 18
Tallium demo Jan 18AquaSPE AG
 
Open Data in Amsterdam
Open Data in AmsterdamOpen Data in Amsterdam
Open Data in Amsterdamokfn
 
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...BigData_Europe
 
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...Aline Custodio
 
GraphTour - Next generation solutions using Neo4j
GraphTour - Next generation solutions using Neo4jGraphTour - Next generation solutions using Neo4j
GraphTour - Next generation solutions using Neo4jNeo4j
 
TallyFox presentation
TallyFox presentationTallyFox presentation
TallyFox presentationAquaSPE AG
 
Presentation of Cyberdb platform
Presentation of Cyberdb platform Presentation of Cyberdb platform
Presentation of Cyberdb platform Dr. Avner Barnea
 
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...European Data Forum
 
The Data Lab - Open Data for Scotland
The Data Lab - Open Data for Scotland The Data Lab - Open Data for Scotland
The Data Lab - Open Data for Scotland 9903089
 
TallyFox Executive Summary
TallyFox Executive SummaryTallyFox Executive Summary
TallyFox Executive SummaryAquaSPE AG
 
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015Burton Lee
 
Call for Papers - International Conference on Networks, Blockchain and Intern...
Call for Papers - International Conference on Networks, Blockchain and Intern...Call for Papers - International Conference on Networks, Blockchain and Intern...
Call for Papers - International Conference on Networks, Blockchain and Intern...IJNSA Journal
 
Looking under the hood of Tech Nation 2016: process, findings & lessons
Looking under the hood of Tech Nation 2016: process, findings & lessonsLooking under the hood of Tech Nation 2016: process, findings & lessons
Looking under the hood of Tech Nation 2016: process, findings & lessonsJuan Mateos-Garcia
 

La actualidad más candente (20)

SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 WorkshopSC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
SC6 Workshop 1: From your data to data stories - BigDataEurope, SC6 Workshop
 
Big data World Show 2013
Big data World Show 2013Big data World Show 2013
Big data World Show 2013
 
Eurocities wg innovation utrecht
Eurocities wg innovation utrechtEurocities wg innovation utrecht
Eurocities wg innovation utrecht
 
ODI Stories 2014-03
ODI Stories 2014-03ODI Stories 2014-03
ODI Stories 2014-03
 
2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd
2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd
2015 Leonardo Martucci - Sentors frukostseminarium om dataskydd
 
SC6 Workshop 1: What can big data do for you?
SC6 Workshop 1: What can big data do for you? SC6 Workshop 1: What can big data do for you?
SC6 Workshop 1: What can big data do for you?
 
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
EDF2014: BIG - NESSI Networking Session: Edward Curry, National University of...
 
Tallium demo Jan 18
Tallium demo Jan 18Tallium demo Jan 18
Tallium demo Jan 18
 
Open Data in Amsterdam
Open Data in AmsterdamOpen Data in Amsterdam
Open Data in Amsterdam
 
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...
BDE Webinar: SC6 - EUROPE IN A CHANGING WORLD -INCLUSIVE, INNOVATIVE AND REFL...
 
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...
Conférence Open Data par où commencer ? "Apps 4 ghent" Intervention B.Rosseau...
 
GraphTour - Next generation solutions using Neo4j
GraphTour - Next generation solutions using Neo4jGraphTour - Next generation solutions using Neo4j
GraphTour - Next generation solutions using Neo4j
 
TallyFox presentation
TallyFox presentationTallyFox presentation
TallyFox presentation
 
Presentation of Cyberdb platform
Presentation of Cyberdb platform Presentation of Cyberdb platform
Presentation of Cyberdb platform
 
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
EDF2014: Rüdiger Eichin, Research Manager at SAP AG, Germany: Deriving Value ...
 
The Data Lab - Open Data for Scotland
The Data Lab - Open Data for Scotland The Data Lab - Open Data for Scotland
The Data Lab - Open Data for Scotland
 
TallyFox Executive Summary
TallyFox Executive SummaryTallyFox Executive Summary
TallyFox Executive Summary
 
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015
Mikko Järvenpää - infogr.am - Latvia - Stanford Engineering - Feb 23 2015
 
Call for Papers - International Conference on Networks, Blockchain and Intern...
Call for Papers - International Conference on Networks, Blockchain and Intern...Call for Papers - International Conference on Networks, Blockchain and Intern...
Call for Papers - International Conference on Networks, Blockchain and Intern...
 
Looking under the hood of Tech Nation 2016: process, findings & lessons
Looking under the hood of Tech Nation 2016: process, findings & lessonsLooking under the hood of Tech Nation 2016: process, findings & lessons
Looking under the hood of Tech Nation 2016: process, findings & lessons
 

Destacado

Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...
Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...
Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...Data Science Milan
 
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...Project “Deep Water” (H2O integration with other deep learning libraries - Jo...
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...Data Science Milan
 
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...Introduction to Distributed Computing Engines for Data Processing - Simone Ro...
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...Data Science Milan
 
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2OIntroduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2OData Science Milan
 
H2O for IoT - Jo-Fai (Joe) Chow, H2O
H2O for IoT - Jo-Fai (Joe) Chow, H2OH2O for IoT - Jo-Fai (Joe) Chow, H2O
H2O for IoT - Jo-Fai (Joe) Chow, H2OData Science Milan
 
Data intensive applications with Apache Flink - Simone Robutti, Radicalbit
Data intensive applications with Apache Flink - Simone Robutti, RadicalbitData intensive applications with Apache Flink - Simone Robutti, Radicalbit
Data intensive applications with Apache Flink - Simone Robutti, RadicalbitData Science Milan
 
Racial Profiling and Its Effects
Racial Profiling and Its EffectsRacial Profiling and Its Effects
Racial Profiling and Its EffectsChey Bradley
 
Etiqueta en la oficina
Etiqueta en la oficinaEtiqueta en la oficina
Etiqueta en la oficinayessicaga29
 
Cb07 revista digital
Cb07 revista digitalCb07 revista digital
Cb07 revista digitalMarylop195
 
Aprendamos sobre el Cambio Climático
Aprendamos sobre el Cambio ClimáticoAprendamos sobre el Cambio Climático
Aprendamos sobre el Cambio ClimáticoMaría Murillo
 
Ce 150210107064 presentation
Ce 150210107064 presentationCe 150210107064 presentation
Ce 150210107064 presentationPratik Zadafiya
 
Energy policy in chhattisgarh
Energy policy in chhattisgarhEnergy policy in chhattisgarh
Energy policy in chhattisgarhArchanaVarughese
 
Solatube international, Inc - portfolio
Solatube international, Inc - portfolioSolatube international, Inc - portfolio
Solatube international, Inc - portfolioMilaKuci
 
Report on seminar sayedwaheed02 ibm02
Report on seminar sayedwaheed02 ibm02Report on seminar sayedwaheed02 ibm02
Report on seminar sayedwaheed02 ibm02Waheed Sayed
 
Presentación matemática 1
Presentación matemática 1Presentación matemática 1
Presentación matemática 1damarisanahi555
 
HRIS Compensation and Benefit Analyst fix
HRIS Compensation and Benefit Analyst fixHRIS Compensation and Benefit Analyst fix
HRIS Compensation and Benefit Analyst fixLipi Fahrizal
 

Destacado (20)

Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...
Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...
Neural Networks and Deep Learning (Part 1 of 2): An introduction - Valentino ...
 
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...Project “Deep Water” (H2O integration with other deep learning libraries - Jo...
Project “Deep Water” (H2O integration with other deep learning libraries - Jo...
 
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...Introduction to Distributed Computing Engines for Data Processing - Simone Ro...
Introduction to Distributed Computing Engines for Data Processing - Simone Ro...
 
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2OIntroduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
Introduction to Machine Learning with H2O - Jo-Fai (Joe) Chow, H2O
 
H2O for IoT - Jo-Fai (Joe) Chow, H2O
H2O for IoT - Jo-Fai (Joe) Chow, H2OH2O for IoT - Jo-Fai (Joe) Chow, H2O
H2O for IoT - Jo-Fai (Joe) Chow, H2O
 
Data intensive applications with Apache Flink - Simone Robutti, Radicalbit
Data intensive applications with Apache Flink - Simone Robutti, RadicalbitData intensive applications with Apache Flink - Simone Robutti, Radicalbit
Data intensive applications with Apache Flink - Simone Robutti, Radicalbit
 
Racial Profiling and Its Effects
Racial Profiling and Its EffectsRacial Profiling and Its Effects
Racial Profiling and Its Effects
 
Etiqueta en la oficina
Etiqueta en la oficinaEtiqueta en la oficina
Etiqueta en la oficina
 
Cb07 revista digital
Cb07 revista digitalCb07 revista digital
Cb07 revista digital
 
Aprendamos sobre el Cambio Climático
Aprendamos sobre el Cambio ClimáticoAprendamos sobre el Cambio Climático
Aprendamos sobre el Cambio Climático
 
Ce 150210107064 presentation
Ce 150210107064 presentationCe 150210107064 presentation
Ce 150210107064 presentation
 
Energy policy in chhattisgarh
Energy policy in chhattisgarhEnergy policy in chhattisgarh
Energy policy in chhattisgarh
 
Como a evolucionado la tecnología
Como a evolucionado la tecnologíaComo a evolucionado la tecnología
Como a evolucionado la tecnología
 
Solatube international, Inc - portfolio
Solatube international, Inc - portfolioSolatube international, Inc - portfolio
Solatube international, Inc - portfolio
 
Coaching (2)
Coaching (2)Coaching (2)
Coaching (2)
 
Educacion a distancia y virtual
Educacion a distancia y virtualEducacion a distancia y virtual
Educacion a distancia y virtual
 
Report on seminar sayedwaheed02 ibm02
Report on seminar sayedwaheed02 ibm02Report on seminar sayedwaheed02 ibm02
Report on seminar sayedwaheed02 ibm02
 
Presentación matemática 1
Presentación matemática 1Presentación matemática 1
Presentación matemática 1
 
5+5+5 Fusion 2015 final
5+5+5 Fusion 2015 final5+5+5 Fusion 2015 final
5+5+5 Fusion 2015 final
 
HRIS Compensation and Benefit Analyst fix
HRIS Compensation and Benefit Analyst fixHRIS Compensation and Benefit Analyst fix
HRIS Compensation and Benefit Analyst fix
 

Similar a Inaugural talk Data Science Milan - Gianmario Spacagna

Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"Diego Oppenheimer
 
Sironta at OpenOffice.org Conference 2010
Sironta at OpenOffice.org Conference  2010Sironta at OpenOffice.org Conference  2010
Sironta at OpenOffice.org Conference 2010Manu Arjó
 
Tutorial helsinki 20180313 v1
Tutorial helsinki 20180313 v1Tutorial helsinki 20180313 v1
Tutorial helsinki 20180313 v1ISSIP
 
Tech Refresh - Ambient Computing and the IT "new normal"
Tech Refresh - Ambient Computing and the IT "new normal"Tech Refresh - Ambient Computing and the IT "new normal"
Tech Refresh - Ambient Computing and the IT "new normal"CompTIA
 
An Introduction to Graph: Database, Analytics, and Cloud Services
An Introduction to Graph:  Database, Analytics, and Cloud ServicesAn Introduction to Graph:  Database, Analytics, and Cloud Services
An Introduction to Graph: Database, Analytics, and Cloud ServicesJean Ihm
 
Flink's Journey from Academia to the ASF
Flink's Journey from Academia to the ASFFlink's Journey from Academia to the ASF
Flink's Journey from Academia to the ASFFabian Hueske
 
Measure Camp Paris 2017 - Digital Analyst Job Description 2020
Measure Camp Paris 2017 - Digital Analyst Job Description 2020Measure Camp Paris 2017 - Digital Analyst Job Description 2020
Measure Camp Paris 2017 - Digital Analyst Job Description 2020Optimal Ways
 
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria?
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria? Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria?
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria? INACAP
 
Data Market Austria and Data Science Continuing Education Course
Data Market Austria and Data Science Continuing Education CourseData Market Austria and Data Science Continuing Education Course
Data Market Austria and Data Science Continuing Education CourseVienna Data Science Group
 
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...Antoine Vigneron
 
AI in the Enterprise
AI in the EnterpriseAI in the Enterprise
AI in the EnterpriseRon Bodkin
 
Icaro AI Pitch deck
Icaro AI Pitch deck Icaro AI Pitch deck
Icaro AI Pitch deck Matteo Testi
 
influence of AI in IS
influence of AI in ISinfluence of AI in IS
influence of AI in ISISACA Riyadh
 
Cyber technologies for SME growth – Barriers and Solutions
Cyber technologies for SME growth – Barriers and SolutionsCyber technologies for SME growth – Barriers and Solutions
Cyber technologies for SME growth – Barriers and SolutionsLiming Zhu
 
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jIvan Zoratti
 
5 Myths about Spark and Big Data by Nik Rouda
5 Myths about Spark and Big Data by Nik Rouda5 Myths about Spark and Big Data by Nik Rouda
5 Myths about Spark and Big Data by Nik RoudaSpark Summit
 
Intro to Artificial Intelligence w/ Target's Director of PM
 Intro to Artificial Intelligence w/ Target's Director of PM Intro to Artificial Intelligence w/ Target's Director of PM
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
 
From Developer to Data Scientist - Gaines Kergosien
From Developer to Data Scientist - Gaines KergosienFrom Developer to Data Scientist - Gaines Kergosien
From Developer to Data Scientist - Gaines KergosienITCamp
 

Similar a Inaugural talk Data Science Milan - Gianmario Spacagna (20)

Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"
 
Sironta at OpenOffice.org Conference 2010
Sironta at OpenOffice.org Conference  2010Sironta at OpenOffice.org Conference  2010
Sironta at OpenOffice.org Conference 2010
 
Tutorial helsinki 20180313 v1
Tutorial helsinki 20180313 v1Tutorial helsinki 20180313 v1
Tutorial helsinki 20180313 v1
 
Tech Refresh - Ambient Computing and the IT "new normal"
Tech Refresh - Ambient Computing and the IT "new normal"Tech Refresh - Ambient Computing and the IT "new normal"
Tech Refresh - Ambient Computing and the IT "new normal"
 
Seoul Conference - Marketing Presentation
Seoul Conference - Marketing PresentationSeoul Conference - Marketing Presentation
Seoul Conference - Marketing Presentation
 
An Introduction to Graph: Database, Analytics, and Cloud Services
An Introduction to Graph:  Database, Analytics, and Cloud ServicesAn Introduction to Graph:  Database, Analytics, and Cloud Services
An Introduction to Graph: Database, Analytics, and Cloud Services
 
Flink's Journey from Academia to the ASF
Flink's Journey from Academia to the ASFFlink's Journey from Academia to the ASF
Flink's Journey from Academia to the ASF
 
Measure Camp Paris 2017 - Digital Analyst Job Description 2020
Measure Camp Paris 2017 - Digital Analyst Job Description 2020Measure Camp Paris 2017 - Digital Analyst Job Description 2020
Measure Camp Paris 2017 - Digital Analyst Job Description 2020
 
Sironta
SirontaSironta
Sironta
 
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria?
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria? Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria?
Sr. Jon Ander, Internet de las Cosas y Big Data: ¿hacia dónde va la Industria?
 
Data Market Austria and Data Science Continuing Education Course
Data Market Austria and Data Science Continuing Education CourseData Market Austria and Data Science Continuing Education Course
Data Market Austria and Data Science Continuing Education Course
 
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...
La gouvernance au cœur de la transformation numérique - Comment COBIT 5 peut ...
 
AI in the Enterprise
AI in the EnterpriseAI in the Enterprise
AI in the Enterprise
 
Icaro AI Pitch deck
Icaro AI Pitch deck Icaro AI Pitch deck
Icaro AI Pitch deck
 
influence of AI in IS
influence of AI in ISinfluence of AI in IS
influence of AI in IS
 
Cyber technologies for SME growth – Barriers and Solutions
Cyber technologies for SME growth – Barriers and SolutionsCyber technologies for SME growth – Barriers and Solutions
Cyber technologies for SME growth – Barriers and Solutions
 
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4jAI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
AI, ML and Graph Algorithms: Real Life Use Cases with Neo4j
 
5 Myths about Spark and Big Data by Nik Rouda
5 Myths about Spark and Big Data by Nik Rouda5 Myths about Spark and Big Data by Nik Rouda
5 Myths about Spark and Big Data by Nik Rouda
 
Intro to Artificial Intelligence w/ Target's Director of PM
 Intro to Artificial Intelligence w/ Target's Director of PM Intro to Artificial Intelligence w/ Target's Director of PM
Intro to Artificial Intelligence w/ Target's Director of PM
 
From Developer to Data Scientist - Gaines Kergosien
From Developer to Data Scientist - Gaines KergosienFrom Developer to Data Scientist - Gaines Kergosien
From Developer to Data Scientist - Gaines Kergosien
 

Más de Data Science Milan

ML & Graph algorithms to prevent financial crime in digital payments
ML & Graph  algorithms to prevent  financial crime in  digital paymentsML & Graph  algorithms to prevent  financial crime in  digital payments
ML & Graph algorithms to prevent financial crime in digital paymentsData Science Milan
 
How to use the Economic Complexity Index to guide innovation plans
How to use the Economic Complexity Index to guide innovation plansHow to use the Economic Complexity Index to guide innovation plans
How to use the Economic Complexity Index to guide innovation plansData Science Milan
 
Robustness Metrics for ML Models based on Deep Learning Methods
Robustness Metrics for ML Models based on Deep Learning MethodsRobustness Metrics for ML Models based on Deep Learning Methods
Robustness Metrics for ML Models based on Deep Learning MethodsData Science Milan
 
"You don't need a bigger boat": serverless MLOps for reasonable companies
"You don't need a bigger boat": serverless MLOps for reasonable companies"You don't need a bigger boat": serverless MLOps for reasonable companies
"You don't need a bigger boat": serverless MLOps for reasonable companiesData Science Milan
 
Question generation using Natural Language Processing by QuestGen.AI
Question generation using Natural Language Processing by QuestGen.AIQuestion generation using Natural Language Processing by QuestGen.AI
Question generation using Natural Language Processing by QuestGen.AIData Science Milan
 
Speed up data preparation for ML pipelines on AWS
Speed up data preparation for ML pipelines on AWSSpeed up data preparation for ML pipelines on AWS
Speed up data preparation for ML pipelines on AWSData Science Milan
 
Serverless machine learning architectures at Helixa
Serverless machine learning architectures at HelixaServerless machine learning architectures at Helixa
Serverless machine learning architectures at HelixaData Science Milan
 
MLOps with a Feature Store: Filling the Gap in ML Infrastructure
MLOps with a Feature Store: Filling the Gap in ML InfrastructureMLOps with a Feature Store: Filling the Gap in ML Infrastructure
MLOps with a Feature Store: Filling the Gap in ML InfrastructureData Science Milan
 
Reinforcement Learning Overview | Marco Del Pra
Reinforcement Learning Overview | Marco Del PraReinforcement Learning Overview | Marco Del Pra
Reinforcement Learning Overview | Marco Del PraData Science Milan
 
Time Series Classification with Deep Learning | Marco Del Pra
Time Series Classification with Deep Learning | Marco Del PraTime Series Classification with Deep Learning | Marco Del Pra
Time Series Classification with Deep Learning | Marco Del PraData Science Milan
 
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AI
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AILudwig: A code-free deep learning toolbox | Piero Molino, Uber AI
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AIData Science Milan
 
Audience projection of target consumers over multiple domains a ner and baye...
Audience projection of target consumers over multiple domains  a ner and baye...Audience projection of target consumers over multiple domains  a ner and baye...
Audience projection of target consumers over multiple domains a ner and baye...Data Science Milan
 
Weak supervised learning - Kristina Khvatova
Weak supervised learning - Kristina KhvatovaWeak supervised learning - Kristina Khvatova
Weak supervised learning - Kristina KhvatovaData Science Milan
 
GANs beyond nice pictures: real value of data generation, Alex Honchar
GANs beyond nice pictures: real value of data generation, Alex HoncharGANs beyond nice pictures: real value of data generation, Alex Honchar
GANs beyond nice pictures: real value of data generation, Alex HoncharData Science Milan
 
Continual/Lifelong Learning with Deep Architectures, Vincenzo Lomonaco
Continual/Lifelong Learning with Deep Architectures, Vincenzo LomonacoContinual/Lifelong Learning with Deep Architectures, Vincenzo Lomonaco
Continual/Lifelong Learning with Deep Architectures, Vincenzo LomonacoData Science Milan
 
3D Point Cloud analysis using Deep Learning
3D Point Cloud analysis using Deep Learning3D Point Cloud analysis using Deep Learning
3D Point Cloud analysis using Deep LearningData Science Milan
 
Deep time-to-failure: predicting failures, churns and customer lifetime with ...
Deep time-to-failure: predicting failures, churns and customer lifetime with ...Deep time-to-failure: predicting failures, churns and customer lifetime with ...
Deep time-to-failure: predicting failures, churns and customer lifetime with ...Data Science Milan
 
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...Data Science Milan
 
Pricing Optimization: Close-out, Online and Renewal strategies, Data Reply
Pricing Optimization: Close-out, Online and Renewal strategies, Data ReplyPricing Optimization: Close-out, Online and Renewal strategies, Data Reply
Pricing Optimization: Close-out, Online and Renewal strategies, Data ReplyData Science Milan
 
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig..."How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...Data Science Milan
 

Más de Data Science Milan (20)

ML & Graph algorithms to prevent financial crime in digital payments
ML & Graph  algorithms to prevent  financial crime in  digital paymentsML & Graph  algorithms to prevent  financial crime in  digital payments
ML & Graph algorithms to prevent financial crime in digital payments
 
How to use the Economic Complexity Index to guide innovation plans
How to use the Economic Complexity Index to guide innovation plansHow to use the Economic Complexity Index to guide innovation plans
How to use the Economic Complexity Index to guide innovation plans
 
Robustness Metrics for ML Models based on Deep Learning Methods
Robustness Metrics for ML Models based on Deep Learning MethodsRobustness Metrics for ML Models based on Deep Learning Methods
Robustness Metrics for ML Models based on Deep Learning Methods
 
"You don't need a bigger boat": serverless MLOps for reasonable companies
"You don't need a bigger boat": serverless MLOps for reasonable companies"You don't need a bigger boat": serverless MLOps for reasonable companies
"You don't need a bigger boat": serverless MLOps for reasonable companies
 
Question generation using Natural Language Processing by QuestGen.AI
Question generation using Natural Language Processing by QuestGen.AIQuestion generation using Natural Language Processing by QuestGen.AI
Question generation using Natural Language Processing by QuestGen.AI
 
Speed up data preparation for ML pipelines on AWS
Speed up data preparation for ML pipelines on AWSSpeed up data preparation for ML pipelines on AWS
Speed up data preparation for ML pipelines on AWS
 
Serverless machine learning architectures at Helixa
Serverless machine learning architectures at HelixaServerless machine learning architectures at Helixa
Serverless machine learning architectures at Helixa
 
MLOps with a Feature Store: Filling the Gap in ML Infrastructure
MLOps with a Feature Store: Filling the Gap in ML InfrastructureMLOps with a Feature Store: Filling the Gap in ML Infrastructure
MLOps with a Feature Store: Filling the Gap in ML Infrastructure
 
Reinforcement Learning Overview | Marco Del Pra
Reinforcement Learning Overview | Marco Del PraReinforcement Learning Overview | Marco Del Pra
Reinforcement Learning Overview | Marco Del Pra
 
Time Series Classification with Deep Learning | Marco Del Pra
Time Series Classification with Deep Learning | Marco Del PraTime Series Classification with Deep Learning | Marco Del Pra
Time Series Classification with Deep Learning | Marco Del Pra
 
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AI
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AILudwig: A code-free deep learning toolbox | Piero Molino, Uber AI
Ludwig: A code-free deep learning toolbox | Piero Molino, Uber AI
 
Audience projection of target consumers over multiple domains a ner and baye...
Audience projection of target consumers over multiple domains  a ner and baye...Audience projection of target consumers over multiple domains  a ner and baye...
Audience projection of target consumers over multiple domains a ner and baye...
 
Weak supervised learning - Kristina Khvatova
Weak supervised learning - Kristina KhvatovaWeak supervised learning - Kristina Khvatova
Weak supervised learning - Kristina Khvatova
 
GANs beyond nice pictures: real value of data generation, Alex Honchar
GANs beyond nice pictures: real value of data generation, Alex HoncharGANs beyond nice pictures: real value of data generation, Alex Honchar
GANs beyond nice pictures: real value of data generation, Alex Honchar
 
Continual/Lifelong Learning with Deep Architectures, Vincenzo Lomonaco
Continual/Lifelong Learning with Deep Architectures, Vincenzo LomonacoContinual/Lifelong Learning with Deep Architectures, Vincenzo Lomonaco
Continual/Lifelong Learning with Deep Architectures, Vincenzo Lomonaco
 
3D Point Cloud analysis using Deep Learning
3D Point Cloud analysis using Deep Learning3D Point Cloud analysis using Deep Learning
3D Point Cloud analysis using Deep Learning
 
Deep time-to-failure: predicting failures, churns and customer lifetime with ...
Deep time-to-failure: predicting failures, churns and customer lifetime with ...Deep time-to-failure: predicting failures, churns and customer lifetime with ...
Deep time-to-failure: predicting failures, churns and customer lifetime with ...
 
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...
50 Shades of Text - Leveraging Natural Language Processing (NLP), Alessandro ...
 
Pricing Optimization: Close-out, Online and Renewal strategies, Data Reply
Pricing Optimization: Close-out, Online and Renewal strategies, Data ReplyPricing Optimization: Close-out, Online and Renewal strategies, Data Reply
Pricing Optimization: Close-out, Online and Renewal strategies, Data Reply
 
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig..."How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...
"How Pirelli uses Domino and Plotly for Smart Manufacturing" by Alberto Arrig...
 

Último

detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxAleenaJamil4
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...GQ Research
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024Timothy Spann
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理e4aez8ss
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Seán Kennedy
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degreeyuu sss
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.natarajan8993
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Cantervoginip
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...limedy534
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanMYRABACSAFRA2
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改yuu sss
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesTimothy Spann
 

Último (20)

detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptx
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
Biometric Authentication: The Evolution, Applications, Benefits and Challenge...
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
April 2024 - NLIT Cloudera Real-Time LLM Streaming 2024
 
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
科罗拉多大学波尔得分校毕业证学位证成绩单-可办理
 
Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...Student Profile Sample report on improving academic performance by uniting gr...
Student Profile Sample report on improving academic performance by uniting gr...
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
办美国阿肯色大学小石城分校毕业证成绩单pdf电子版制作修改#真实留信入库#永久存档#真实可查#diploma#degree
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.RABBIT: A CLI tool for identifying bots based on their GitHub events.
RABBIT: A CLI tool for identifying bots based on their GitHub events.
 
ASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel CanterASML's Taxonomy Adventure by Daniel Canter
ASML's Taxonomy Adventure by Daniel Canter
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
Effects of Smartphone Addiction on the Academic Performances of Grades 9 to 1...
 
Identifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population MeanIdentifying Appropriate Test Statistics Involving Population Mean
Identifying Appropriate Test Statistics Involving Population Mean
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
专业一比一美国俄亥俄大学毕业证成绩单pdf电子版制作修改
 
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming PipelinesConf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
Conf42-LLM_Adding Generative AI to Real-Time Streaming Pipelines
 

Inaugural talk Data Science Milan - Gianmario Spacagna

  • 1. Data Science Milan Inaugural Talk Gianmario Spacagna 19/05/2016
  • 2. About me @gm_spacagna • Background in Telecommunications and Distributed Systems • (University of Cassino, Polytechnic of Turin, KTH of Stockholm) • Experience in a few industries: • Predictive Marketing (AgilOne, StreamSend) • Social/Travel (Random Break) • Cyber Security (Cisco) • Financial Services (Barclays) • Automotive (Pirelli) • Areas of interest • Building production-ready and scalable machine learning systems • Functional Programming, Scala and Apache Spark (check out sparkz on github) • Contributor of the Professional Data Science Manifesto (www.datasciencemanifesto.org) • Organizing events and meet-ups 
  • 3. About us • 159 members on meetup • 79 on LinkedIn • Community of Data Scientists, practitioners and enthusiasts based in the Milan area • No profit, open group • Goal: • Discuss and promote data- driven innovation • Collaboration and sharing of knowledge
  • 4. Partnerships • Diego Liberati, host • , Big Data consultancy start-up • Milan High Tech Meetup group (www.meetup.com/Milan-High-Tech-Meetup)
  • 5. Background and Interests Survey • 80 responses so far, pretty good! • http://goo.gl/forms/3xvJMX4KvO • Most popular: • Role: Data Scientist, Developer, Student/PhD, Data Engineer • Experience: mid-senior, junior, student/intern • Languages: Python, R, Java, C, Matlab, Scala • Technologies SQL/RDBMS, Notebooks, viz libs, Spark, Hadoop • More predictive analytics than descriptive • Topics: Machine Learning & Deep Learning, Production use-cases, Functional Programming, Streaming, NLP • Summary will be available soon…
  • 6. #datasciencemilan • If you haven’t done yet, remember to join us on http://www.meetup.com/Data-Science-Milan/ And our LinkedIn group: https://www.linkedin.com/groups/8497363