SlideShare a Scribd company logo
1 of 14
Download to read offline
Gdzie można nakarmić
sztuczną inteligencję?
dr inż. Aleksander Smywiński-Pohl
Akademia Górniczo-Hutnicza, Techmo
apohllo.pl
https://goo.gl/Im3
bk7
Algorytmy uczenia maszynowego są głodne
deeplearningbook.org:
“As of 2016, a rough rule of thumb is that a supervised
deep learning algorithm will generally achieve acceptable
performance with around 5,000 labeled examples per
category, and will match or exceed human performance
when trained with a dataset containing at least 10 million
labeled examples.
https://goo.gl/Eu
2vYq
Zapłać ludziom, żeby nakarmili twoje algorytmy...
Mechanical Turk is a marketplace for work
https://goo.gl/n1
girM
albo...
...zamień użytkowników w darmowych pracowników
https://goo.gl/PGFAvO
“The system has been
reported as displaying
over 100 million
CAPTCHAs every day”
Wikipedia
Kup gotowe zbiory danych
https://www.ldc.upenn.edu/
LDC93S1 TIMIT Acoustic-Phonetic Continuous Speech Corpus
DC2006T13 Web 1T 5-gram Version 1
LDC96L14 CELEX2
LDC2013T19 OntoNotes Release 5.0
LDC93S10 TIDIGITS
LDC99T42 Treebank-3
LDC2008T19 The New York Times Annotated Corpus
LDC93T3A TIPSTER Complete
LDC97S62 Switchboard-1 Release 2
LDC2016T19 BOLT Chinese-English Word Alignment and Tagging
albo...
Wykorzystaj “darmowe” zbiory danych
https://goo.gl/3Tk
WSJ
Gdzie szukać?
http://lod-cloud.net/
https://goo.gl/KM1kv0

More Related Content

Similar to AIMeetup #2: Gdzie można nakarmić sztuczną inteligencję?

National scale research computing and beyond pearc panel 2017
National scale research computing and beyond   pearc panel 2017National scale research computing and beyond   pearc panel 2017
National scale research computing and beyond pearc panel 2017Gregory Newby
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligenceosman ansari
 
Artificial intelligence - A Teaser to the Topic.
Artificial intelligence - A Teaser to the Topic.Artificial intelligence - A Teaser to the Topic.
Artificial intelligence - A Teaser to the Topic.Dr. Kim (Kyllesbech Larsen)
 
Deconstructing a Machine Learning Pipeline with Virtual Data Lake
Deconstructing a Machine Learning Pipeline with Virtual Data LakeDeconstructing a Machine Learning Pipeline with Virtual Data Lake
Deconstructing a Machine Learning Pipeline with Virtual Data LakeAlluxio, Inc.
 
ARgh! kinesthetic learning
ARgh! kinesthetic learningARgh! kinesthetic learning
ARgh! kinesthetic learningfridolin.wild
 
The Impact of Automation & AI in the Workplace
The Impact of Automation & AI in the WorkplaceThe Impact of Automation & AI in the Workplace
The Impact of Automation & AI in the WorkplaceCollabor8now Ltd
 
Scientific Workflows: what do we have, what do we miss?
Scientific Workflows: what do we have, what do we miss?Scientific Workflows: what do we have, what do we miss?
Scientific Workflows: what do we have, what do we miss?Paolo Romano
 
AI Tech. session, Orange Presentation
AI Tech. session, Orange PresentationAI Tech. session, Orange Presentation
AI Tech. session, Orange PresentationEITESAL NGO
 
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...Artificial Intelligence Led Threats To Academic Integrity - European Conferen...
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...Thomas Lancaster
 
The Grand Unified Theory of Autonomous Systems, Humans and Simulation
The Grand Unified Theory of Autonomous Systems, Humans and SimulationThe Grand Unified Theory of Autonomous Systems, Humans and Simulation
The Grand Unified Theory of Autonomous Systems, Humans and SimulationAndy Fawkes
 
Future of work 2017 part three 29 May 2017 "Artificial Intelligence and Robo...
Future of work 2017 part three  29 May 2017 "Artificial Intelligence and Robo...Future of work 2017 part three  29 May 2017 "Artificial Intelligence and Robo...
Future of work 2017 part three 29 May 2017 "Artificial Intelligence and Robo...Maureen Boland
 
The Rise of Crowd Computing (July 7, 2016)
The Rise of Crowd Computing (July 7, 2016)The Rise of Crowd Computing (July 7, 2016)
The Rise of Crowd Computing (July 7, 2016)Matthew Lease
 
AI and the Professions: Past, Present and Future
AI and the Professions: Past, Present and FutureAI and the Professions: Past, Present and Future
AI and the Professions: Past, Present and FutureWarren E. Agin
 
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart Grids
SE4SG 2013 :  Towards a Constraint Based Approach for Self-Healing Smart GridsSE4SG 2013 :  Towards a Constraint Based Approach for Self-Healing Smart Grids
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart GridsJenny Liu
 
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human ComputationCUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human ComputationCUbRIK Project
 

Similar to AIMeetup #2: Gdzie można nakarmić sztuczną inteligencję? (20)

National scale research computing and beyond pearc panel 2017
National scale research computing and beyond   pearc panel 2017National scale research computing and beyond   pearc panel 2017
National scale research computing and beyond pearc panel 2017
 
Artificial intelligence
Artificial intelligenceArtificial intelligence
Artificial intelligence
 
Artificial intelligence - A Teaser to the Topic.
Artificial intelligence - A Teaser to the Topic.Artificial intelligence - A Teaser to the Topic.
Artificial intelligence - A Teaser to the Topic.
 
Deconstructing a Machine Learning Pipeline with Virtual Data Lake
Deconstructing a Machine Learning Pipeline with Virtual Data LakeDeconstructing a Machine Learning Pipeline with Virtual Data Lake
Deconstructing a Machine Learning Pipeline with Virtual Data Lake
 
ARgh! kinesthetic learning
ARgh! kinesthetic learningARgh! kinesthetic learning
ARgh! kinesthetic learning
 
The Impact of Automation & AI in the Workplace
The Impact of Automation & AI in the WorkplaceThe Impact of Automation & AI in the Workplace
The Impact of Automation & AI in the Workplace
 
Scientific Workflows: what do we have, what do we miss?
Scientific Workflows: what do we have, what do we miss?Scientific Workflows: what do we have, what do we miss?
Scientific Workflows: what do we have, what do we miss?
 
Industrial Machine Learning
Industrial Machine LearningIndustrial Machine Learning
Industrial Machine Learning
 
AI Tech. session, Orange Presentation
AI Tech. session, Orange PresentationAI Tech. session, Orange Presentation
AI Tech. session, Orange Presentation
 
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...Artificial Intelligence Led Threats To Academic Integrity - European Conferen...
Artificial Intelligence Led Threats To Academic Integrity - European Conferen...
 
20181212 ibm aot
20181212 ibm aot20181212 ibm aot
20181212 ibm aot
 
The Grand Unified Theory of Autonomous Systems, Humans and Simulation
The Grand Unified Theory of Autonomous Systems, Humans and SimulationThe Grand Unified Theory of Autonomous Systems, Humans and Simulation
The Grand Unified Theory of Autonomous Systems, Humans and Simulation
 
EtikaUI.pptx
EtikaUI.pptxEtikaUI.pptx
EtikaUI.pptx
 
S0-Stephen.pptx
S0-Stephen.pptxS0-Stephen.pptx
S0-Stephen.pptx
 
Future of work 2017 part three 29 May 2017 "Artificial Intelligence and Robo...
Future of work 2017 part three  29 May 2017 "Artificial Intelligence and Robo...Future of work 2017 part three  29 May 2017 "Artificial Intelligence and Robo...
Future of work 2017 part three 29 May 2017 "Artificial Intelligence and Robo...
 
The Rise of Crowd Computing (July 7, 2016)
The Rise of Crowd Computing (July 7, 2016)The Rise of Crowd Computing (July 7, 2016)
The Rise of Crowd Computing (July 7, 2016)
 
AI and the Professions: Past, Present and Future
AI and the Professions: Past, Present and FutureAI and the Professions: Past, Present and Future
AI and the Professions: Past, Present and Future
 
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart Grids
SE4SG 2013 :  Towards a Constraint Based Approach for Self-Healing Smart GridsSE4SG 2013 :  Towards a Constraint Based Approach for Self-Healing Smart Grids
SE4SG 2013 : Towards a Constraint Based Approach for Self-Healing Smart Grids
 
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human ComputationCUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
CUbRIK tutorial at ICWE 2013: part 1 Introduction to Human Computation
 
Artificial intelligence - Digital Readiness.
Artificial intelligence - Digital Readiness.Artificial intelligence - Digital Readiness.
Artificial intelligence - Digital Readiness.
 

More from 2040.io

Jak budujemy inteligentnego asystenta biznesowego
Jak budujemy inteligentnego asystenta biznesowegoJak budujemy inteligentnego asystenta biznesowego
Jak budujemy inteligentnego asystenta biznesowego2040.io
 
Obsługa klienta z wykorzystaniem sztucznej inteligencji
Obsługa klienta z wykorzystaniem sztucznej inteligencjiObsługa klienta z wykorzystaniem sztucznej inteligencji
Obsługa klienta z wykorzystaniem sztucznej inteligencji2040.io
 
Jak AI pozwala nam usłyszeć głos klienta
Jak AI pozwala nam usłyszeć głos klientaJak AI pozwala nam usłyszeć głos klienta
Jak AI pozwala nam usłyszeć głos klienta2040.io
 
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstuWyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu2040.io
 
Rozpoznawanie mowy: problem rozwiązany?
Rozpoznawanie mowy: problem rozwiązany?Rozpoznawanie mowy: problem rozwiązany?
Rozpoznawanie mowy: problem rozwiązany?2040.io
 
Czy Deep Learning działa?
Czy Deep Learning działa?Czy Deep Learning działa?
Czy Deep Learning działa?2040.io
 
Analiza semantyczna zasosowana w środowisku Menerva
Analiza semantyczna zasosowana w środowisku MenervaAnaliza semantyczna zasosowana w środowisku Menerva
Analiza semantyczna zasosowana w środowisku Menerva2040.io
 
Time-series prediction with neural networks
Time-series prediction with neural networksTime-series prediction with neural networks
Time-series prediction with neural networks2040.io
 
Ai meetup Neural machine translation updated
Ai meetup Neural machine translation updatedAi meetup Neural machine translation updated
Ai meetup Neural machine translation updated2040.io
 
AIMeetup #4: Neural-machine-translation
AIMeetup #4: Neural-machine-translationAIMeetup #4: Neural-machine-translation
AIMeetup #4: Neural-machine-translation2040.io
 
AIMeetup #4: Artificial intelligence and economics
AIMeetup #4: Artificial intelligence and economicsAIMeetup #4: Artificial intelligence and economics
AIMeetup #4: Artificial intelligence and economics2040.io
 
AIMeetup #4: Let’s compete with machine! edrone crm
AIMeetup #4: Let’s compete with machine! edrone crmAIMeetup #4: Let’s compete with machine! edrone crm
AIMeetup #4: Let’s compete with machine! edrone crm2040.io
 

More from 2040.io (12)

Jak budujemy inteligentnego asystenta biznesowego
Jak budujemy inteligentnego asystenta biznesowegoJak budujemy inteligentnego asystenta biznesowego
Jak budujemy inteligentnego asystenta biznesowego
 
Obsługa klienta z wykorzystaniem sztucznej inteligencji
Obsługa klienta z wykorzystaniem sztucznej inteligencjiObsługa klienta z wykorzystaniem sztucznej inteligencji
Obsługa klienta z wykorzystaniem sztucznej inteligencji
 
Jak AI pozwala nam usłyszeć głos klienta
Jak AI pozwala nam usłyszeć głos klientaJak AI pozwala nam usłyszeć głos klienta
Jak AI pozwala nam usłyszeć głos klienta
 
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstuWyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu
Wyzwania związane z modelowaniem mobilnych systemów świadomych kontekstu
 
Rozpoznawanie mowy: problem rozwiązany?
Rozpoznawanie mowy: problem rozwiązany?Rozpoznawanie mowy: problem rozwiązany?
Rozpoznawanie mowy: problem rozwiązany?
 
Czy Deep Learning działa?
Czy Deep Learning działa?Czy Deep Learning działa?
Czy Deep Learning działa?
 
Analiza semantyczna zasosowana w środowisku Menerva
Analiza semantyczna zasosowana w środowisku MenervaAnaliza semantyczna zasosowana w środowisku Menerva
Analiza semantyczna zasosowana w środowisku Menerva
 
Time-series prediction with neural networks
Time-series prediction with neural networksTime-series prediction with neural networks
Time-series prediction with neural networks
 
Ai meetup Neural machine translation updated
Ai meetup Neural machine translation updatedAi meetup Neural machine translation updated
Ai meetup Neural machine translation updated
 
AIMeetup #4: Neural-machine-translation
AIMeetup #4: Neural-machine-translationAIMeetup #4: Neural-machine-translation
AIMeetup #4: Neural-machine-translation
 
AIMeetup #4: Artificial intelligence and economics
AIMeetup #4: Artificial intelligence and economicsAIMeetup #4: Artificial intelligence and economics
AIMeetup #4: Artificial intelligence and economics
 
AIMeetup #4: Let’s compete with machine! edrone crm
AIMeetup #4: Let’s compete with machine! edrone crmAIMeetup #4: Let’s compete with machine! edrone crm
AIMeetup #4: Let’s compete with machine! edrone crm
 

Recently uploaded

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlPeter Udo Diehl
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxDavid Michel
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераMark Opanasiuk
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaCzechDreamin
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfFIDO Alliance
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastUXDXConf
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyJohn Staveley
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomCzechDreamin
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeCzechDreamin
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekCzechDreamin
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsUXDXConf
 
Buy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdfBuy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdfEasyPrinterHelp
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FIDO Alliance
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka DoktorováCzechDreamin
 
Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoTAnalytics
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsStefano
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxEasyPrinterHelp
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfFIDO Alliance
 

Recently uploaded (20)

Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo DiehlFuture Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
Future Visions: Predictions to Guide and Time Tech Innovation, Peter Udo Diehl
 
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptxUnpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
Powerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara LaskowskaPowerful Start- the Key to Project Success, Barbara Laskowska
Powerful Start- the Key to Project Success, Barbara Laskowska
 
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdfThe Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
The Value of Certifying Products for FDO _ Paul at FIDO Alliance.pdf
 
Designing for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at ComcastDesigning for Hardware Accessibility at Comcast
Designing for Hardware Accessibility at Comcast
 
Demystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John StaveleyDemystifying gRPC in .Net by John Staveley
Demystifying gRPC in .Net by John Staveley
 
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone KomSalesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi IbrahimzadeFree and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade
 
AI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří KarpíšekAI revolution and Salesforce, Jiří Karpíšek
AI revolution and Salesforce, Jiří Karpíšek
 
Strategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering TeamsStrategic AI Integration in Engineering Teams
Strategic AI Integration in Engineering Teams
 
Buy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdfBuy Epson EcoTank L3210 Colour Printer Online.pdf
Buy Epson EcoTank L3210 Colour Printer Online.pdf
 
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
FDO for Camera, Sensor and Networking Device – Commercial Solutions from VinC...
 
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová10 Differences between Sales Cloud and CPQ, Blanka Doktorová
10 Differences between Sales Cloud and CPQ, Blanka Doktorová
 
Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024Enterprise Knowledge Graphs - Data Summit 2024
Enterprise Knowledge Graphs - Data Summit 2024
 
IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024IoT Analytics Company Presentation May 2024
IoT Analytics Company Presentation May 2024
 
PLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. StartupsPLAI - Acceleration Program for Generative A.I. Startups
PLAI - Acceleration Program for Generative A.I. Startups
 
Buy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptxBuy Epson EcoTank L3210 Colour Printer Online.pptx
Buy Epson EcoTank L3210 Colour Printer Online.pptx
 
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdfHow Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
How Red Hat Uses FDO in Device Lifecycle _ Costin and Vitaliy at Red Hat.pdf
 

AIMeetup #2: Gdzie można nakarmić sztuczną inteligencję?

  • 1. Gdzie można nakarmić sztuczną inteligencję? dr inż. Aleksander Smywiński-Pohl Akademia Górniczo-Hutnicza, Techmo apohllo.pl https://goo.gl/Im3 bk7
  • 2. Algorytmy uczenia maszynowego są głodne deeplearningbook.org: “As of 2016, a rough rule of thumb is that a supervised deep learning algorithm will generally achieve acceptable performance with around 5,000 labeled examples per category, and will match or exceed human performance when trained with a dataset containing at least 10 million labeled examples. https://goo.gl/Eu 2vYq
  • 3. Zapłać ludziom, żeby nakarmili twoje algorytmy... Mechanical Turk is a marketplace for work https://goo.gl/n1 girM
  • 5. ...zamień użytkowników w darmowych pracowników https://goo.gl/PGFAvO “The system has been reported as displaying over 100 million CAPTCHAs every day” Wikipedia
  • 6. Kup gotowe zbiory danych https://www.ldc.upenn.edu/ LDC93S1 TIMIT Acoustic-Phonetic Continuous Speech Corpus DC2006T13 Web 1T 5-gram Version 1 LDC96L14 CELEX2 LDC2013T19 OntoNotes Release 5.0 LDC93S10 TIDIGITS LDC99T42 Treebank-3 LDC2008T19 The New York Times Annotated Corpus LDC93T3A TIPSTER Complete LDC97S62 Switchboard-1 Release 2 LDC2016T19 BOLT Chinese-English Word Alignment and Tagging
  • 8. Wykorzystaj “darmowe” zbiory danych https://goo.gl/3Tk WSJ
  • 9.
  • 10.
  • 11.