SlideShare une entreprise Scribd logo

Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant Professor of Computer Science, UC Irvine

•Télécharger en tant que PPTX, PDF•
•
Sri Ambati
Sri Ambati

Presented at #H2OWorld 2017 in Mountain View, CA. Enjoy the video: https://youtu.be/TBJqgvXYhfo. Learn more about H2O.ai: https://www.h2o.ai/. Follow @h2oai: https://twitter.com/h2oai. - - - Abstract: Machine learning is at the forefront of many recent advances in science and technology, enabled in part by the sophisticated models and algorithms that have been recently introduced. However, as a consequence of this complexity, machine learning essentially acts as a black-box as far as users are concerned, making it incredibly difficult to understand, predict, or "trust" their behavior. In this talk, I will describe our research on approaches that explain the predictions of ANY classifier in an interpretable and faithful manner. Sameer's Bio: Dr. Sameer Singh is an Assistant Professor of Computer Science at the University of California, Irvine. He is working on large-scale and interpretable machine learning applied to natural language processing. Sameer was a Postdoctoral Research Associate at the University of Washington and received his PhD from the University of Massachusetts, Amherst, during which he also worked at Microsoft Research, Google Research, and Yahoo! Labs on massive-scale machine learning. He was awarded the Adobe Research Data Science Faculty Award, was selected as a DARPA Riser, won the grand prize in the Yelp dataset challenge, and received the Yahoo! Key Scientific Challenges fellowship. Sameer has published extensively at top-tier machine learning and natural language processing conferences. (http://sameersingh.org)

Technologie
1  sur  59
Explaining Black-Box Machine Learning Predictions Sameer Singh University of California, Irvine
Machine Learning is Everywhere…
Classification: Wolf or a Husky? Machine Learning Model Wolf!
Classification: Wolf or a Husky? Machine Learning Model Husky!
Only 1 mistake! Classification: Wolf or a Husky?
More Complex: Question Answering Is there a moustache in the picture? > Yes What is the moustache made of? > Banana
Essentially black-boxes! How can we trust the predictions are correct? How do we know they are not breaking regulations? How do we avoid “stupid mistakes”? Trust How can we understand and predict the behavior? Predict How do we improve it to prevent potential mistakes? Improve
Only 1 mistake! Classification: Wolf or a Husky? We’ve built a snow detector…
Visual Question Answering What is the moustache made of? > Banana What are the eyes made of? > Bananas What? > Banana What is? > Banana
Text Classification Why did this happen? From: Keith Richards Subject: Christianity is the answer NTTP-Posting-Host: x.x.com I think Christianity is the one true religion. If you’d like to know more, send me a note
Applying for a Loan Machine Learning I would like to apply for a loan. vvvvvvv vvvvvvv vvvvvvv vvvvvvv vvvvvvv Here is my information. vvvvvvv vvvvvvv vvvvvvv vvvvvvv vvvvvvv Sorry, your request has been denied Why? What were the reasons? Currently Cannot explain.. [0.25,-4.5,3.5,-10.4,…]
How did we get here? Big Data and Deep Learning
Simple Data X1 X2
Linear Classifiers X1 X2 You can interpret it… - Both have a positive effect - X1 > X2 10X1 + X2 - 5 > 0if: otherwise
Decision trees X1 X2 X1 > 0.5 X2 > 0.5 You can interpret it… - X2 is irrelevant if X1<0.5 - Otherwise X2 is enough
Looking at the structure How can we trust the predictions are correct? Trust How can we understand and predict the behavior? Predict How do we improve it to prevent potential mistakes? Improve Test whether the structure agrees with our intuitions. Structure tells us exactly what will happen on any data. Structure tells you where the error is, thus how to fix it.
Arrival of Big Data
Big Data: Applications of ML
Big Data: More Complexity X1 X2
http://www.mckinsey.com/industries/high-tech/our-insights/an-executives-guide-to-machine-learning
Big Data: More Dimensions Savings Income Profession Loan Amount Age Marital Status Past defaults Credit scores Recent defaults This easily goes to hundreds - Images: thousands - Text: tens of thousands - Video: millions - … and so on
X1 X2 Complex Surfaces Savings Income Profession Loan Amount Age Married Past defaults Credit scores Recent defaults … Lots of dimensions + Black-boxes!
Accuracy vs Interpretability Interpretability Accuracy 10X1 + X2 - 5 > 0 X1 > 0.5 X2 > 0.5 millions of weights, complex features Real-world use case Research on “interpretable models”
Deep Learning Interpretability Accuracy Real-world use case Research on “interpretable models” Focus on accuracy! Human-level
Looking at the structure How can we trust the predictions are correct? Trust How can we understand and predict the behavior? Predict How do we improve it to prevent potential mistakes? Improve Test whether the structure agrees with our intuitions. Structure tells us exactly what will happen on any data. Structure tells you where the error is, thus how to fix it.
Explaining Predictions The LIME Algorithm
Being Model-Agnostic… No assumptions about the internal structure… X1 > 0.5 X2 > 0.5f(x) Explain any existing, or future, model Data Decision
LIME: Explain Any Classifier! Interpretability Accuracy Real-world use case Make everything interpretable!
What an explanation looks like Why did this happen? From: Keith Richards Subject: Christianity is the answer NTTP-Posting-Host: x.x.com I think Christianity is the one true religion. If you’d like to know more, send me a note
Being Model-Agnostic… “Global” explanation is too complicated
Being Model-Agnostic… “Global” explanation is too complicated
Being Model-Agnostic… “Global” explanation is too complicated Explanation is an interpretable model, that is locally accurate
Google’s Object Detector P( ) = 0.21P( ) = 0.24P( ) = 0.32
Only 1 mistake! Classification: Wolf or a Husky?
Neural Network Explanations We’ve built a great snow detector…
Understanding Behavior We’ve built a great snow detector…
Comparing Classifiers Classifier 1 Classifier 2 Explanations? Look at Examples? Deploy and Check? “I have a gut feeling..” Accuracy? Change the model Different data Different parameters Different “features” …
Comparing Classifiers Original Image “Bad” Classifier “Good” Classifier
Explanation for a bad classifier From: Keith Richards Subject: Christianity is the answer NTTP-Posting-Host: x.x.com I think Christianity is the one true religion. If you’d like to know more, send me a note After looking at the explanation, we shouldn’t trust the model!
“Good” Explanation It seems to be picking up on more reasonable things.. good!
Recent Work Counter-examples and Counter-factuals
Understanding via Predicting Users “understand” a model if they can predict its behavior on unseen instances Precision is much more important than Coverage! Precision How accurate are the users guesses? If the users guess wrong, they don’t understand Coverage How often do the users make confident guesses? It’s okay not to be able to guess! It’s much better not to guess than to guess confidently, but be completely wrong!
Linear Explanations This movie is not bad. This movie is not very good. LIMELIME D D … D This director is always bad. This movie is not nice. This stuff is rather honest. This star is not bad. Problem 1: Where is the explanation good? Explanation is wrong in this region This explanation is a better approximation than the other one. Problem 2: What is the coverage? Explanation doesn’t apply here → Users will make mistakes!
Anchors: Precise Counter-factuals Anchor: ”not bad” → This movie is not bad. This audio is not bad. This novel is not bad. This footage is not bad. D(.|A) Positive This movie is not very good. Anchor: ”not good” → This poster is not ever good. This picture is not rarely good. This actor is not incredibly good. D(.|A) Negative anchor anchor LIMELIME D D An anchor is a sufficient condition Clear (and adaptive) coverage Probabilistic guarantee avoids human mistakes
Salary Prediction IF Education < High School Then Predict Salary < 50K Salary 71% 29% >$50K <$50K
Visual QA
Encoder/Decoder LSTMs
Encoder/Decoder LSTMs
Encoder/Decoder LSTMs
What’s a Good Explanation? We want to understand the models Compact description Lines, Decision Trees, Simple Rules, etc. When we read them, we imagine instances where they apply, and where they don’t Directly show useful examples? What examples describe the behavior? Closest Counter-example: How can we change this example to change the prediction?
Adversarial Examples Goodfellow et al, "Explaining and Harnessing Adversarial Examples", ICLR 2015. adversary predicted as "2"original MNIST digit "3" + .02 x = adversarial noise "inputs formed by applying small but intentionally worst-case perturbations to examples from the dataset, such that the perturbed input results in the model outputting an incorrect answer with high confidence"
Adversarial Examples: Pros Advantages: ◦ Applicable to any gradient -based classifier ◦ Useful to evaluate the robustness of the model against adversaries ◦ Small perturbations often lead to imperceivable adversarial examples
Adversarial Examples: Cons Disadvantages: ◦ Examples are unnatural ◦ may not look anything you would naturally see in the "wild" ◦ Distance is not always meaningful ◦ E.g. color change or translation/rotation of an image ◦ Cannot be used for structured domains like text, code, etc.: ◦ E.g. replacing/removing words results in sentences that are not grammatical ◦ Do not provide insights into why the sample is an adversary ◦ How is the model working? ◦ How to fix the model?
Example: MNIST Digits
Example: Church vs Tower
Machine Translation Debug Google Translate, remotely!
Explanations are important! How can we trust the predictions are correct? Trust How can we understand and predict the behavior? Predict How do we improve it to prevent potential mistakes? Improve Model Agnostic Explanations
Thanks! sameer@uci.edu sameersingh.org Model Agnostic Explanations Work with Marco T. Ribeiro, Carlos Guestrin, Dheeru Dua, and Zhengli Zhao

Recommandé

Explainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableExplainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableAditya Bhattacharya
 
Explainable AI in Industry (FAT* 2020 Tutorial)
Explainable AI in Industry (FAT* 2020 Tutorial)Explainable AI in Industry (FAT* 2020 Tutorial)
Explainable AI in Industry (FAT* 2020 Tutorial)Krishnaram Kenthapadi
 
An Introduction to XAI! Towards Trusting Your ML Models!
An Introduction to XAI! Towards Trusting Your ML Models!An Introduction to XAI! Towards Trusting Your ML Models!
An Introduction to XAI! Towards Trusting Your ML Models!Mansour Saffar
 
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Sri Ambati
 
Interpretable machine learning : Methods for understanding complex models
Interpretable machine learning : Methods for understanding complex modelsInterpretable machine learning : Methods for understanding complex models
Interpretable machine learning : Methods for understanding complex modelsManojit Nandi
 
Interpretable Machine Learning
Interpretable Machine LearningInterpretable Machine Learning
Interpretable Machine LearningSri Ambati
 
230309_LoRa
230309_LoRa230309_LoRa
230309_LoRaYongSang Yoo
 
Explainability and bias in AI
Explainability and bias in AIExplainability and bias in AI
Explainability and bias in AIBill Liu
 

Recommandé

Explainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableExplainable AI - making ML and DL models more interpretable
Explainable AI - making ML and DL models more interpretableAditya Bhattacharya
 
Explainable AI in Industry (FAT* 2020 Tutorial)
Explainable AI in Industry (FAT* 2020 Tutorial)Explainable AI in Industry (FAT* 2020 Tutorial)
Explainable AI in Industry (FAT* 2020 Tutorial)Krishnaram Kenthapadi
 
An Introduction to XAI! Towards Trusting Your ML Models!
An Introduction to XAI! Towards Trusting Your ML Models!An Introduction to XAI! Towards Trusting Your ML Models!
An Introduction to XAI! Towards Trusting Your ML Models!Mansour Saffar
 
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...
Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data...Sri Ambati
 
Interpretable machine learning : Methods for understanding complex models
Interpretable machine learning : Methods for understanding complex modelsInterpretable machine learning : Methods for understanding complex models
Interpretable machine learning : Methods for understanding complex modelsManojit Nandi
 
Interpretable Machine Learning
Interpretable Machine LearningInterpretable Machine Learning
Interpretable Machine LearningSri Ambati
 
230309_LoRa
230309_LoRa230309_LoRa
230309_LoRaYongSang Yoo
 
Explainability and bias in AI
Explainability and bias in AIExplainability and bias in AI
Explainability and bias in AIBill Liu
 
Tutorial on Deep Generative Models
Tutorial on Deep Generative Models Tutorial on Deep Generative Models
Tutorial on Deep Generative ModelsMLReview
 
Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Krishnaram Kenthapadi
 
Towards Human-Centered Machine Learning
Towards Human-Centered Machine LearningTowards Human-Centered Machine Learning
Towards Human-Centered Machine LearningSri Ambati
 
Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective Saurabh Kaushik
 
Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)Krishnaram Kenthapadi
 
Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework Deep Learning Italia
 
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckAI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
 
Deep learning - A Visual Introduction
Deep learning - A Visual IntroductionDeep learning - A Visual Introduction
Deep learning - A Visual IntroductionLukas Masuch
 
DC02. Interpretation of predictions
DC02. Interpretation of predictionsDC02. Interpretation of predictions
DC02. Interpretation of predictionsAnton Kulesh
 
Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Hayim Makabee
 
Explainable AI
Explainable AIExplainable AI
Explainable AIWagston Staehler
 
Interpretable machine learning
Interpretable machine learningInterpretable machine learning
Interpretable machine learningSri Ambati
 
Introduction to Recurrent Neural Network
Introduction to Recurrent Neural NetworkIntroduction to Recurrent Neural Network
Introduction to Recurrent Neural NetworkYan Xu
 
Intro to deep learning
Intro to deep learning Intro to deep learning
Intro to deep learning David Voyles
 
Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Krishnaram Kenthapadi
 
Explainable AI
Explainable AIExplainable AI
Explainable AIArithmer Inc.
 
Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)Krishnaram Kenthapadi
 
Explainable AI
Explainable AIExplainable AI
Explainable AIDinesh V
 
Rnn and lstm
Rnn and lstmRnn and lstm
Rnn and lstmShreshth Saxena
 
From Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptxFrom Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptxChun-Hao Chang
 
The Art of Speaking Data.
The Art of Speaking Data.The Art of Speaking Data.
The Art of Speaking Data.David Wellman
 
Intro to modelling-supervised learning
Intro to modelling-supervised learningIntro to modelling-supervised learning
Intro to modelling-supervised learningJustin Sebok
 

Contenu connexe

Tendances

Tutorial on Deep Generative Models
Tutorial on Deep Generative Models Tutorial on Deep Generative Models
Tutorial on Deep Generative ModelsMLReview
 
Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Krishnaram Kenthapadi
 
Towards Human-Centered Machine Learning
Towards Human-Centered Machine LearningTowards Human-Centered Machine Learning
Towards Human-Centered Machine LearningSri Ambati
 
Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective Saurabh Kaushik
 
Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)Krishnaram Kenthapadi
 
Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework Deep Learning Italia
 
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckAI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
 
Deep learning - A Visual Introduction
Deep learning - A Visual IntroductionDeep learning - A Visual Introduction
Deep learning - A Visual IntroductionLukas Masuch
 
DC02. Interpretation of predictions
DC02. Interpretation of predictionsDC02. Interpretation of predictions
DC02. Interpretation of predictionsAnton Kulesh
 
Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Hayim Makabee
 
Interpretable machine learning
Interpretable machine learningInterpretable machine learning
Interpretable machine learningSri Ambati
 
Introduction to Recurrent Neural Network
Introduction to Recurrent Neural NetworkIntroduction to Recurrent Neural Network
Introduction to Recurrent Neural NetworkYan Xu
 
Intro to deep learning
Intro to deep learning Intro to deep learning
Intro to deep learning David Voyles
 
Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Krishnaram Kenthapadi
 
Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)Krishnaram Kenthapadi
 
Explainable AI
Explainable AIExplainable AI
Explainable AIDinesh V
 
From Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptxFrom Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptxChun-Hao Chang
 

Tendances (20)

Tutorial on Deep Generative Models
Tutorial on Deep Generative Models Tutorial on Deep Generative Models
Tutorial on Deep Generative Models
 
Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)Explainable AI in Industry (KDD 2019 Tutorial)
Explainable AI in Industry (KDD 2019 Tutorial)
 
Towards Human-Centered Machine Learning
Towards Human-Centered Machine LearningTowards Human-Centered Machine Learning
Towards Human-Centered Machine Learning
 
Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective Explainable AI (XAI) - A Perspective
Explainable AI (XAI) - A Perspective
 
Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)Explainable AI in Industry (WWW 2020 Tutorial)
Explainable AI in Industry (WWW 2020 Tutorial)
 
Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework Machine Learning Explanations: LIME framework
Machine Learning Explanations: LIME framework
 
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckAI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck
 
Deep learning - A Visual Introduction
Deep learning - A Visual IntroductionDeep learning - A Visual Introduction
Deep learning - A Visual Introduction
 
DC02. Interpretation of predictions
DC02. Interpretation of predictionsDC02. Interpretation of predictions
DC02. Interpretation of predictions
 
Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)Explainable Machine Learning (Explainable ML)
Explainable Machine Learning (Explainable ML)
 
Explainable AI
Explainable AIExplainable AI
Explainable AI
 
Interpretable machine learning
Interpretable machine learningInterpretable machine learning
Interpretable machine learning
 
Introduction to Recurrent Neural Network
Introduction to Recurrent Neural NetworkIntroduction to Recurrent Neural Network
Introduction to Recurrent Neural Network
 
Intro to deep learning
Intro to deep learning Intro to deep learning
Intro to deep learning
 
Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)Explainable AI in Industry (AAAI 2020 Tutorial)
Explainable AI in Industry (AAAI 2020 Tutorial)
 
Explainable AI
Explainable AIExplainable AI
Explainable AI
 
Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)Responsible AI in Industry (ICML 2021 Tutorial)
Responsible AI in Industry (ICML 2021 Tutorial)
 
Explainable AI
Explainable AIExplainable AI
Explainable AI
 
Rnn and lstm
Rnn and lstmRnn and lstm
Rnn and lstm
 
From Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptxFrom Conventional Machine Learning to Deep Learning and Beyond.pptx
From Conventional Machine Learning to Deep Learning and Beyond.pptx
 

Similaire à Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant Professor of Computer Science, UC Irvine

The Art of Speaking Data.
The Art of Speaking Data.The Art of Speaking Data.
The Art of Speaking Data.David Wellman
 
Intro to modelling-supervised learning
Intro to modelling-supervised learningIntro to modelling-supervised learning
Intro to modelling-supervised learningJustin Sebok
 
AI in the Real World: Challenges, and Risks and how to handle them?
AI in the Real World: Challenges, and Risks and how to handle them?AI in the Real World: Challenges, and Risks and how to handle them?
AI in the Real World: Challenges, and Risks and how to handle them?Srinath Perera
 
Deep Learning Class #0 - You Can Do It
Deep Learning Class #0 - You Can Do ItDeep Learning Class #0 - You Can Do It
Deep Learning Class #0 - You Can Do ItHolberton School
 
DL Classe 0 - You can do it
DL Classe 0 - You can do itDL Classe 0 - You can do it
DL Classe 0 - You can do itGregory Renard
 
What If? Demystifying AI Decisions with Counterfactuals
What If? Demystifying AI Decisions with CounterfactualsWhat If? Demystifying AI Decisions with Counterfactuals
What If? Demystifying AI Decisions with Counterfactualsdavidmartens007
 
Large Components in the Rearview Mirror
Large Components in the Rearview MirrorLarge Components in the Rearview Mirror
Large Components in the Rearview MirrorMichelle Brush
 
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16Kimberly Gomez
 
Qualitative Legal Prediction - Prof. Daniel Katz
Qualitative Legal Prediction - Prof. Daniel KatzQualitative Legal Prediction - Prof. Daniel Katz
Qualitative Legal Prediction - Prof. Daniel Katzsmahboobani
 
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Elad Rosenheim
 
HarambeeNet: Data by the people, for the people
HarambeeNet: Data by the people, for the peopleHarambeeNet: Data by the people, for the people
HarambeeNet: Data by the people, for the peopleMichael Bernstein
 
Defeating online fraud and abuse – Continuous Intelligence in action
Defeating online fraud and abuse – Continuous Intelligence in actionDefeating online fraud and abuse – Continuous Intelligence in action
Defeating online fraud and abuse – Continuous Intelligence in actionThoughtworks
 
Machine Learning ICS 273A
Machine Learning ICS 273AMachine Learning ICS 273A
Machine Learning ICS 273Abutest
 
Machine Learning ICS 273A
Machine Learning ICS 273AMachine Learning ICS 273A
Machine Learning ICS 273Abutest
 
Knowing Ranking Factors won't be enough!
Knowing Ranking Factors won't be enough!Knowing Ranking Factors won't be enough!
Knowing Ranking Factors won't be enough!Mark Orr
 
IxDA Taiwan 6th slide
IxDA Taiwan 6th slideIxDA Taiwan 6th slide
IxDA Taiwan 6th slideStanley Chang
 
Security Snake Oil Cycle 2019
Security Snake Oil Cycle 2019Security Snake Oil Cycle 2019
Security Snake Oil Cycle 2019Dave Cole
 
Software estimation is crap
Software estimation is crapSoftware estimation is crap
Software estimation is crapIan Garrison
 
Lecture 6: Watson and the Social Web (2014), Chris Welty
Lecture 6: Watson and the Social Web (2014), Chris WeltyLecture 6: Watson and the Social Web (2014), Chris Welty
Lecture 6: Watson and the Social Web (2014), Chris WeltyLora Aroyo
 

Similaire à Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant Professor of Computer Science, UC Irvine (20)

The Art of Speaking Data.
The Art of Speaking Data.The Art of Speaking Data.
The Art of Speaking Data.
 
Intro to modelling-supervised learning
Intro to modelling-supervised learningIntro to modelling-supervised learning
Intro to modelling-supervised learning
 
AI in the Real World: Challenges, and Risks and how to handle them?
AI in the Real World: Challenges, and Risks and how to handle them?AI in the Real World: Challenges, and Risks and how to handle them?
AI in the Real World: Challenges, and Risks and how to handle them?
 
Deep Learning Class #0 - You Can Do It
Deep Learning Class #0 - You Can Do ItDeep Learning Class #0 - You Can Do It
Deep Learning Class #0 - You Can Do It
 
DL Classe 0 - You can do it
DL Classe 0 - You can do itDL Classe 0 - You can do it
DL Classe 0 - You can do it
 
What If? Demystifying AI Decisions with Counterfactuals
What If? Demystifying AI Decisions with CounterfactualsWhat If? Demystifying AI Decisions with Counterfactuals
What If? Demystifying AI Decisions with Counterfactuals
 
Large Components in the Rearview Mirror
Large Components in the Rearview MirrorLarge Components in the Rearview Mirror
Large Components in the Rearview Mirror
 
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16
Size Of Writing Paper. Writing Paper Sizes Chart. 2019-01-16
 
Qualitative Legal Prediction - Prof. Daniel Katz
Qualitative Legal Prediction - Prof. Daniel KatzQualitative Legal Prediction - Prof. Daniel Katz
Qualitative Legal Prediction - Prof. Daniel Katz
 
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
Taking Machine Learning from Batch to Real-Time (big data eXposed 2015)
 
HarambeeNet: Data by the people, for the people
HarambeeNet: Data by the people, for the peopleHarambeeNet: Data by the people, for the people
HarambeeNet: Data by the people, for the people
 
Defeating online fraud and abuse – Continuous Intelligence in action
Defeating online fraud and abuse – Continuous Intelligence in actionDefeating online fraud and abuse – Continuous Intelligence in action
Defeating online fraud and abuse – Continuous Intelligence in action
 
Machine Learning ICS 273A
Machine Learning ICS 273AMachine Learning ICS 273A
Machine Learning ICS 273A
 
Machine Learning ICS 273A
Machine Learning ICS 273AMachine Learning ICS 273A
Machine Learning ICS 273A
 
Knowing Ranking Factors won't be enough!
Knowing Ranking Factors won't be enough!Knowing Ranking Factors won't be enough!
Knowing Ranking Factors won't be enough!
 
IxDA Taiwan 6th slide
IxDA Taiwan 6th slideIxDA Taiwan 6th slide
IxDA Taiwan 6th slide
 
Security Snake Oil Cycle 2019
Security Snake Oil Cycle 2019Security Snake Oil Cycle 2019
Security Snake Oil Cycle 2019
 
Software estimation is crap
Software estimation is crapSoftware estimation is crap
Software estimation is crap
 
Grc t18
Grc t18Grc t18
Grc t18
 
Lecture 6: Watson and the Social Web (2014), Chris Welty
Lecture 6: Watson and the Social Web (2014), Chris WeltyLecture 6: Watson and the Social Web (2014), Chris Welty
Lecture 6: Watson and the Social Web (2014), Chris Welty
 

Plus de Sri Ambati

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Generative AI Masterclass - Model Risk Management.pptx
Generative AI Masterclass - Model Risk Management.pptxGenerative AI Masterclass - Model Risk Management.pptx
Generative AI Masterclass - Model Risk Management.pptxSri Ambati
 
AI and the Future of Software Development: A Sneak Peek
AI and the Future of Software Development: A Sneak Peek AI and the Future of Software Development: A Sneak Peek
AI and the Future of Software Development: A Sneak Peek Sri Ambati
 
LLMOps: Match report from the top of the 5th
LLMOps: Match report from the top of the 5thLLMOps: Match report from the top of the 5th
LLMOps: Match report from the top of the 5thSri Ambati
 
Building, Evaluating, and Optimizing your RAG App for Production
Building, Evaluating, and Optimizing your RAG App for ProductionBuilding, Evaluating, and Optimizing your RAG App for Production
Building, Evaluating, and Optimizing your RAG App for ProductionSri Ambati
 
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...Building LLM Solutions using Open Source and Closed Source Solutions in Coher...
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...Sri Ambati
 
Risk Management for LLMs
Risk Management for LLMsRisk Management for LLMs
Risk Management for LLMsSri Ambati
 
Open-Source AI: Community is the Way
Open-Source AI: Community is the WayOpen-Source AI: Community is the Way
Open-Source AI: Community is the WaySri Ambati
 
Building Custom GenAI Apps at H2O
Building Custom GenAI Apps at H2OBuilding Custom GenAI Apps at H2O
Building Custom GenAI Apps at H2OSri Ambati
 
Applied Gen AI for the Finance Vertical
Applied Gen AI for the Finance Vertical Applied Gen AI for the Finance Vertical
Applied Gen AI for the Finance Vertical Sri Ambati
 
Cutting Edge Tricks from LLM Papers
Cutting Edge Tricks from LLM PapersCutting Edge Tricks from LLM Papers
Cutting Edge Tricks from LLM PapersSri Ambati
 
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...Sri Ambati
 
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...Sri Ambati
 
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...Sri Ambati
 
LLM Interpretability
LLM Interpretability LLM Interpretability
LLM Interpretability Sri Ambati
 
Never Reply to an Email Again
Never Reply to an Email AgainNever Reply to an Email Again
Never Reply to an Email AgainSri Ambati
 
Introducción al Aprendizaje Automatico con H2O-3 (1)
Introducción al Aprendizaje Automatico con H2O-3 (1)Introducción al Aprendizaje Automatico con H2O-3 (1)
Introducción al Aprendizaje Automatico con H2O-3 (1)Sri Ambati
 
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...Sri Ambati
 
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...Sri Ambati
 
AI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneyAI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
 

Plus de Sri Ambati (20)

H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Generative AI Masterclass - Model Risk Management.pptx
Generative AI Masterclass - Model Risk Management.pptxGenerative AI Masterclass - Model Risk Management.pptx
Generative AI Masterclass - Model Risk Management.pptx
 
AI and the Future of Software Development: A Sneak Peek
AI and the Future of Software Development: A Sneak Peek AI and the Future of Software Development: A Sneak Peek
AI and the Future of Software Development: A Sneak Peek
 
LLMOps: Match report from the top of the 5th
LLMOps: Match report from the top of the 5thLLMOps: Match report from the top of the 5th
LLMOps: Match report from the top of the 5th
 
Building, Evaluating, and Optimizing your RAG App for Production
Building, Evaluating, and Optimizing your RAG App for ProductionBuilding, Evaluating, and Optimizing your RAG App for Production
Building, Evaluating, and Optimizing your RAG App for Production
 
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...Building LLM Solutions using Open Source and Closed Source Solutions in Coher...
Building LLM Solutions using Open Source and Closed Source Solutions in Coher...
 
Risk Management for LLMs
Risk Management for LLMsRisk Management for LLMs
Risk Management for LLMs
 
Open-Source AI: Community is the Way
Open-Source AI: Community is the WayOpen-Source AI: Community is the Way
Open-Source AI: Community is the Way
 
Building Custom GenAI Apps at H2O
Building Custom GenAI Apps at H2OBuilding Custom GenAI Apps at H2O
Building Custom GenAI Apps at H2O
 
Applied Gen AI for the Finance Vertical
Applied Gen AI for the Finance Vertical Applied Gen AI for the Finance Vertical
Applied Gen AI for the Finance Vertical
 
Cutting Edge Tricks from LLM Papers
Cutting Edge Tricks from LLM PapersCutting Edge Tricks from LLM Papers
Cutting Edge Tricks from LLM Papers
 
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...
Practitioner's Guide to LLMs: Exploring Use Cases and a Glimpse Beyond Curren...
 
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...
Open Source h2oGPT with Retrieval Augmented Generation (RAG), Web Search, and...
 
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...
KGM Mastering Classification and Regression with LLMs: Insights from Kaggle C...
 
LLM Interpretability
LLM Interpretability LLM Interpretability
LLM Interpretability
 
Never Reply to an Email Again
Never Reply to an Email AgainNever Reply to an Email Again
Never Reply to an Email Again
 
Introducción al Aprendizaje Automatico con H2O-3 (1)
Introducción al Aprendizaje Automatico con H2O-3 (1)Introducción al Aprendizaje Automatico con H2O-3 (1)
Introducción al Aprendizaje Automatico con H2O-3 (1)
 
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...
From Rapid Prototypes to an end-to-end Model Deployment: an AI Hedge Fund Use...
 
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...
AI Foundations Course Module 1 - Shifting to the Next Step in Your AI Transfo...
 
AI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneyAI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation Journey
 

Dernier

Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
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
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
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
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
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
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
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
 
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
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
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
 

Dernier (20)

Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
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...
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
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
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
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
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
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
 
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...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
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
 

Explaining Black-Box Machine Learning Predictions - Sameer Singh, Assistant Professor of Computer Science, UC Irvine

Notes de l'éditeur

  1. X2 = mX1 + c X1=0.5, m/2 + c = 0, m = -2c X2 = 10, c=10, m=-20, Y = 20X1 -X2 + 10
  2. Applications: Biology, Linguistics, Journalism, Econometrics, Humanities, Medicine, … Data types: Time series, Text, Images, Audio, Video, Graphs, User Histories, …
  3. Instead of tens.. Images: hundreds Text: thousands Video: millions … and so on