SlideShare une entreprise Scribd logo
1  sur  114
Chapter 10 Probability
Section 10.1 Simple Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpreting Probability ,[object Object],[object Object]
Probability Terminology ,[object Object],[object Object],[object Object],[object Object]
Example 1 ,[object Object],[object Object],[object Object]
Example 1 ,[object Object],[object Object]
Example 2 ,[object Object],[object Object],[object Object]
Example 2, cont’d ,[object Object],[object Object]
Example 3 ,[object Object],[object Object],[object Object]
Example 3 ,[object Object],[object Object]
Example 4 ,[object Object],[object Object],[object Object]
Example 4 ,[object Object]
Example 4 ,[object Object]
Probability, cont’d ,[object Object],[object Object],[object Object],[object Object]
Experimental Probability ,[object Object]
Example 5 ,[object Object],[object Object]
Example 5 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Theoretical Probability ,[object Object]
Example 6 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 6, cont’d ,[object Object],[object Object]
Example 6 ,[object Object]
Example 6 ,[object Object]
Example 7 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 7 ,[object Object],[object Object],[object Object],[object Object]
Example 7 ,[object Object],[object Object],[object Object]
Example 7 ,[object Object],[object Object],[object Object]
Example 8 ,[object Object],[object Object]
Example 8 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 8 ,[object Object],[object Object],[object Object]
Example 8 ,[object Object],[object Object],[object Object],[object Object]
Example 8 ,[object Object],[object Object],[object Object],[object Object]
Union and Intersection ,[object Object],[object Object]
Mutually Exclusive Events ,[object Object],[object Object]
Example 9 ,[object Object],[object Object],[object Object],[object Object]
Example 9 ,[object Object]
Example 9 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Complement of an Event ,[object Object],[object Object],[object Object]
Complement of an Event, cont’d ,[object Object]
Example 10 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 10 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 12 ,[object Object]
Example 12 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 12 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example12 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 12 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Section 10.2 Multistage Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
10.2 Initial Problem ,[object Object],[object Object],[object Object]
Example 1 ,[object Object]
Example 2 ,[object Object],[object Object]
Fundamental Counting Principle ,[object Object],[object Object],[object Object]
Example 3 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 3 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Example 4 ,[object Object]
Example 4 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Probability Tree Diagrams ,[object Object],[object Object]
Probability Tree Diagrams
Example 6 ,[object Object]
Example 6, cont’d ,[object Object],[object Object]
Example 7 ,[object Object],[object Object]
Example 7 ,[object Object],[object Object],[object Object],[object Object]
Example 7 ,[object Object]
Example 8 ,[object Object],[object Object]
Example 8 ,[object Object]
Example 8 ,[object Object]
Example 8 ,[object Object]
Example 9 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 9 ,[object Object]
Example 9 ,[object Object]
Example 10 ,[object Object],[object Object],[object Object]
Example 10 ,[object Object]
Example 10 ,[object Object]
Example 11 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 11 ,[object Object],[object Object]
10.2 Initial Problem Solution ,[object Object],[object Object]
Initial Problem Solution, cont’d
Initial Problem Solution ,[object Object],[object Object]
Section 10.3 Conditional Probability, Expected Value, and Odds ,[object Object],[object Object],[object Object],[object Object]
10.3 Initial Problem ,[object Object],[object Object]
Conditional Probability ,[object Object],[object Object],[object Object]
Conditional Probability ,[object Object],[object Object],[object Object]
Conditional Probability ,[object Object],[object Object]
Example 1 ,[object Object],[object Object]
Example 1 ,[object Object],[object Object],[object Object],[object Object]
Example 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 1 ,[object Object]
Example 2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example 2 ,[object Object],[object Object],[object Object],[object Object]
Example 2 ,[object Object]
Example 2 ,[object Object],[object Object]
Example 2 ,[object Object],[object Object],[object Object],[object Object]
Example 3 ,[object Object],[object Object]
Example 3 ,[object Object],[object Object]
Example 3 ,[object Object],[object Object]
Example 3 ,[object Object],[object Object]
Independent Events ,[object Object],[object Object]
Example 5 ,[object Object],[object Object],[object Object],[object Object]
Example 5,  ,[object Object],[object Object],[object Object],[object Object]
Expected Value ,[object Object],[object Object]
Example 6 ,[object Object],[object Object]
Example 6 ,[object Object]
Example 7 ,[object Object]
Example 7 ,[object Object],[object Object]
Odds ,[object Object],[object Object]
Odds ,[object Object],[object Object],[object Object]
Example 8 ,[object Object],[object Object]
Example 8 ,[object Object],[object Object]
Example 9 ,[object Object],[object Object],[object Object]
Example 9, cont’d ,[object Object],[object Object],[object Object]
Example 10 ,[object Object],[object Object],[object Object]
Example 10, cont’d ,[object Object],[object Object],[object Object]
10.3 Initial Problem Solution ,[object Object],[object Object]
Initial Problem Solution ,[object Object],[object Object],[object Object]
Initial Problem Solution ,[object Object]
Chapter 10 Assignments ,[object Object],[object Object],[object Object]

Contenu connexe

Tendances

PROBABILITY
PROBABILITYPROBABILITY
PROBABILITYVIV13
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probabilityrey castro
 
Probability
ProbabilityProbability
Probabilityvar93
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531guest25d353
 
Probability Concepts Applications
Probability Concepts  ApplicationsProbability Concepts  Applications
Probability Concepts Applicationsguest44b78
 
Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpointspike2904
 
Basic probability concept
Basic probability conceptBasic probability concept
Basic probability conceptMmedsc Hahm
 
Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSESteve Bishop
 
4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probabilitymlong24
 
Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probabilityMark Ryder
 

Tendances (20)

PROBABILITY
PROBABILITYPROBABILITY
PROBABILITY
 
different kinds of probability
different kinds of probabilitydifferent kinds of probability
different kinds of probability
 
PROBABILITY
PROBABILITYPROBABILITY
PROBABILITY
 
Probablity ppt maths
Probablity ppt mathsProbablity ppt maths
Probablity ppt maths
 
Probability+distribution
Probability+distributionProbability+distribution
Probability+distribution
 
Introduction of Probability
Introduction of ProbabilityIntroduction of Probability
Introduction of Probability
 
Probability
ProbabilityProbability
Probability
 
Chapter 4 260110 044531
Chapter 4 260110 044531Chapter 4 260110 044531
Chapter 4 260110 044531
 
Probability
ProbabilityProbability
Probability
 
Probability Concepts Applications
Probability Concepts  ApplicationsProbability Concepts  Applications
Probability Concepts Applications
 
More Probability
More ProbabilityMore Probability
More Probability
 
Probability Powerpoint
Probability PowerpointProbability Powerpoint
Probability Powerpoint
 
Laws of probability
Laws of probabilityLaws of probability
Laws of probability
 
Probability 10th class
Probability 10th classProbability 10th class
Probability 10th class
 
Basic probability concept
Basic probability conceptBasic probability concept
Basic probability concept
 
Probability for GCSE
Probability for GCSEProbability for GCSE
Probability for GCSE
 
4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability4.1-4.2 Sample Spaces and Probability
4.1-4.2 Sample Spaces and Probability
 
Probability
ProbabilityProbability
Probability
 
Unit 11.2 theoretical probability
Unit 11.2 theoretical probabilityUnit 11.2 theoretical probability
Unit 11.2 theoretical probability
 
Probability
ProbabilityProbability
Probability
 

En vedette

Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probabilityguest45a926
 
Probability powerpoint
Probability powerpointProbability powerpoint
Probability powerpointTiffany Deegan
 
Basic Probability
Basic Probability Basic Probability
Basic Probability kaurab
 
Nossi Ch 4.1 and 4.2
Nossi Ch 4.1 and 4.2Nossi Ch 4.1 and 4.2
Nossi Ch 4.1 and 4.2lesaturner
 
Lesson 2.1 division
Lesson 2.1 divisionLesson 2.1 division
Lesson 2.1 divisionA V Prakasam
 
nossi ch 13 updated
nossi ch 13 updatednossi ch 13 updated
nossi ch 13 updatedlesaturner
 
ch 3 quiz follow-up
ch 3 quiz follow-upch 3 quiz follow-up
ch 3 quiz follow-uplesaturner
 
Maths Answer Ppsmif4 2006 P1 #
Maths Answer Ppsmif4 2006 P1 #Maths Answer Ppsmif4 2006 P1 #
Maths Answer Ppsmif4 2006 P1 #norainisaser
 
Nossi Ch 5 updated
Nossi Ch 5 updatedNossi Ch 5 updated
Nossi Ch 5 updatedlesaturner
 
Simon Paik Lecture
Simon Paik LectureSimon Paik Lecture
Simon Paik Lecturespaik0809
 
12.4 counting methods 1
12.4 counting methods   112.4 counting methods   1
12.4 counting methods 1bweldon
 
Introduction to Probability - NZ Level 2 2.12
Introduction to Probability - NZ Level 2  2.12Introduction to Probability - NZ Level 2  2.12
Introduction to Probability - NZ Level 2 2.12Kate FLR
 

En vedette (20)

Basic Concept Of Probability
Basic Concept Of ProbabilityBasic Concept Of Probability
Basic Concept Of Probability
 
Probability
ProbabilityProbability
Probability
 
Probability powerpoint
Probability powerpointProbability powerpoint
Probability powerpoint
 
Basic Probability
Basic Probability Basic Probability
Basic Probability
 
Probability concept and Probability distribution
Probability concept and Probability distributionProbability concept and Probability distribution
Probability concept and Probability distribution
 
Nossi Ch 4.1 and 4.2
Nossi Ch 4.1 and 4.2Nossi Ch 4.1 and 4.2
Nossi Ch 4.1 and 4.2
 
Lesson 2.1 division
Lesson 2.1 divisionLesson 2.1 division
Lesson 2.1 division
 
Nossi ch 12
Nossi ch 12Nossi ch 12
Nossi ch 12
 
Nossi Ch 1
Nossi Ch 1Nossi Ch 1
Nossi Ch 1
 
nossi ch 13 updated
nossi ch 13 updatednossi ch 13 updated
nossi ch 13 updated
 
Nossi ch 3
Nossi ch 3Nossi ch 3
Nossi ch 3
 
ch 3 quiz follow-up
ch 3 quiz follow-upch 3 quiz follow-up
ch 3 quiz follow-up
 
Nossi ch 2
Nossi ch 2Nossi ch 2
Nossi ch 2
 
Maths Answer Ppsmif4 2006 P1 #
Maths Answer Ppsmif4 2006 P1 #Maths Answer Ppsmif4 2006 P1 #
Maths Answer Ppsmif4 2006 P1 #
 
Nossi Ch 5 updated
Nossi Ch 5 updatedNossi Ch 5 updated
Nossi Ch 5 updated
 
Simon Paik Lecture
Simon Paik LectureSimon Paik Lecture
Simon Paik Lecture
 
12.4 counting methods 1
12.4 counting methods   112.4 counting methods   1
12.4 counting methods 1
 
nossi ch 6
nossi ch 6nossi ch 6
nossi ch 6
 
Introduction to Probability - NZ Level 2 2.12
Introduction to Probability - NZ Level 2  2.12Introduction to Probability - NZ Level 2  2.12
Introduction to Probability - NZ Level 2 2.12
 
Probability
ProbabilityProbability
Probability
 

Similaire à Nossi ch 10

Probability (gr.11)
Probability (gr.11)Probability (gr.11)
Probability (gr.11)Vukile Xhego
 
probability-180324013552.pptx
probability-180324013552.pptxprobability-180324013552.pptx
probability-180324013552.pptxVukile Xhego
 
Week-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxWeek-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxDariusRosete
 
GRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and StatisticsGRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and Statisticskenthromulo
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester Karan Kukreja
 
Note 1 probability
Note 1 probabilityNote 1 probability
Note 1 probabilityNur Suaidah
 
Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Darren Kuropatwa
 
Lecture Notes MTH302 Before MTT Myers.docx
Lecture Notes MTH302 Before MTT Myers.docxLecture Notes MTH302 Before MTT Myers.docx
Lecture Notes MTH302 Before MTT Myers.docxRaghavaReddy449756
 
Probability5
Probability5Probability5
Probability5Aza Alias
 
Day 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptDay 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptHayaaKhan8
 
STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)Danny Cao
 
Chapter 3 SE 2015.pptx
Chapter 3 SE 2015.pptxChapter 3 SE 2015.pptx
Chapter 3 SE 2015.pptxmiki304759
 
Simple probability
Simple probabilitySimple probability
Simple probability06426345
 
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathProbabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathJustin Tallant
 

Similaire à Nossi ch 10 (20)

probibility
probibilityprobibility
probibility
 
Probability (gr.11)
Probability (gr.11)Probability (gr.11)
Probability (gr.11)
 
probability-180324013552.pptx
probability-180324013552.pptxprobability-180324013552.pptx
probability-180324013552.pptx
 
Probability.pdf
Probability.pdfProbability.pdf
Probability.pdf
 
Week-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptxWeek-7_Day-1_Complementary-Events_PPT.pptx
Week-7_Day-1_Complementary-Events_PPT.pptx
 
603-probability mj.pptx
603-probability mj.pptx603-probability mj.pptx
603-probability mj.pptx
 
GRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and StatisticsGRADE 10 MATH Probability and Statistics
GRADE 10 MATH Probability and Statistics
 
5. probability qt 1st tri semester
5. probability qt 1st tri semester 5. probability qt 1st tri semester
5. probability qt 1st tri semester
 
Note 1 probability
Note 1 probabilityNote 1 probability
Note 1 probability
 
Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008Pre-Cal 40S Slides May 21, 2008
Pre-Cal 40S Slides May 21, 2008
 
Lecture Notes MTH302 Before MTT Myers.docx
Lecture Notes MTH302 Before MTT Myers.docxLecture Notes MTH302 Before MTT Myers.docx
Lecture Notes MTH302 Before MTT Myers.docx
 
Probability5
Probability5Probability5
Probability5
 
Day 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).pptDay 1 - Law of Large Numbers and Probability (1).ppt
Day 1 - Law of Large Numbers and Probability (1).ppt
 
Probability[1]
Probability[1]Probability[1]
Probability[1]
 
STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)STAB52 Lecture Notes (Week 2)
STAB52 Lecture Notes (Week 2)
 
Prob2definitions
Prob2definitionsProb2definitions
Prob2definitions
 
Chapter 3 SE 2015.pptx
Chapter 3 SE 2015.pptxChapter 3 SE 2015.pptx
Chapter 3 SE 2015.pptx
 
Simple probability
Simple probabilitySimple probability
Simple probability
 
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite MathProbabilities, Counting, and Equally Likely Outcomes - Finite Math
Probabilities, Counting, and Equally Likely Outcomes - Finite Math
 
Probability
ProbabilityProbability
Probability
 

Dernier

Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGSujit Pal
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 

Dernier (20)

Google AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAGGoogle AI Hackathon: LLM based Evaluator for RAG
Google AI Hackathon: LLM based Evaluator for RAG
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 

Nossi ch 10

  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54.
  • 55.
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66.
  • 67.
  • 68.
  • 69.
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 76.
  • 77.
  • 78.
  • 79.
  • 80.
  • 81.
  • 82.
  • 83.
  • 84.
  • 85.
  • 86.
  • 87.
  • 88.
  • 89.
  • 90.
  • 91.
  • 92.
  • 93.
  • 94.
  • 95.
  • 96.
  • 97.
  • 98.
  • 99.
  • 100.
  • 101.
  • 102.
  • 103.
  • 104.
  • 105.
  • 106.
  • 107.
  • 108.
  • 109.
  • 110.
  • 111.
  • 112.
  • 113.
  • 114.