#modelexplainability search results
AI is powerful but companies in the regulated industries also need #ModelExplainability to use AI. Pedro shares a barrier he experienced. For the full video, visit bit.ly/2SVORVv #Ople #Live #Webinar #DataScience #AI #ArtificialIntelligence #MachineLearning #EnterpriseAI
Model açıklanabilirliği (Türkçe kaynak) >> yusufbaykaloglu.medium.com/model-explaina… #kartaca #softwaredevelopment #modelexplainability #modelaçıklanabilirliği #machinelearning #deeplearning #datascience
Recap this week's Expert Interview Series with @resdntalien as he and @RobertsPaige discuss #AI, #ModelExplainability, #DataQuality for #MachineLearning & more: bit.ly/2LZYV85
Dr. Sourav Dey (@resdntalien) and Paige Roberts (@RobertsPaige) discuss #AugmentedIntelligence, the power of #MachineLearning, and #ModelExplainability in part 2 of our expert interview. sync.st/2OwUKTa
Recap this week's Expert Interview Series with resdntalien as he and RobertsPaige discuss #AI, #ModelExplainability, #DataQuality for #MachineLearning & more: bit.ly/2LZYV85
Our Expert Interview Series with @resdntalien continues! Today, he & @RobertsPaige discuss #AugmentedIntelligence, #AI as Triage & the importance of #ModelExplainability: bit.ly/2mXMZsI
#MachineLearning models are more popular than ever, but can we trust them? @willem_meints will discuss #ModelExplainability at #dataMindsConnect, to understand how to crack open the black boxes. We'll dive into Explainers, tools, and techniques. datamindsconnect.be
In today's Machine Learning Community Standup, we learn what model explainability is and why it's important to understand your model results. Join us: msft.it/6018nr9uK #MachineLearning #ResponsibleML #ModelExplainability
RT What Are the Prevailing Explainability Methods? dlvr.it/SFsf72 #mlobservability #modelexplainability #mlmonitoring #explainability
RT A Look Into Global, Cohort and Local Model Explainability dlvr.it/S81Bw4 #machinelearning #ai #modelexplainability #artificialintelligence
What is #ModelExplainability and when should it be a concern for enterprises? Read on to learn more about this core problem in the #MachineLearning field: bit.ly/3eOyfXO
Making AI models explainable helps ensure trust, accountability, and the ability to trace decisions back to their data inputs. #ModelExplainability #Transparency #AICompliance
6. Communicate effectively with stakeholders to explain the model's capabilities and limitations. Presenting technical knowledge can be challenging, especially to non-technical stakeholders. #ModelExplainability is an important step in a model's success. #MachineLearning
If you’re working with #MachineLearning models, do you know how exactly they arrive at their conclusions? Learn why this is important and when it should be a concern for enterprises: bit.ly/3nttV3V #ModelExplainability #BlackBox
👨💻📈My #DataScience @faculty_ai fellowship project with @JustEatUK on data-driven menu optimisation. I explored #ModelExplainability techniques using #CatBoost and #SHAP to uncover the most important menu features #AI #MachineLearning #DataInBusiness youtube.com/watch?v=aCWIVb…
youtube.com
YouTube
Demo Day XVII - Just Eat - Gleb Lukicov
The next generation of explainable AI needs to focus on interrogating the evidence that supports a model’s conclusion. What does that look like in practice? Featurespace's @DavidSutton explains: bit.ly/3HDqu3o #Fraud #ModelExplainability #ExplainableAI #FraudPrevention
In industrial applications of #DataScience, #ModelComplexity, #ModelExplainability, efficiency, and ease of deployment play a large role, even if that means you're settling for a slightly less accurate model. This is even more common for first-time baseline models.
Making AI models explainable helps ensure trust, accountability, and the ability to trace decisions back to their data inputs. #ModelExplainability #Transparency #AICompliance
Model Explainability in Python: A Comprehensive Guide youtube.com/watch?v=J0StxM… #modelexplainability #machinelearning #python #interpretability #transparency #fairness #stem #datascience #ai #artificialintelligence #machinelearningengineering #explainableai
youtube.com
YouTube
Model Explainability in Python: A Comprehensive Guide
#DataExplainability: The Counterpart to #ModelExplainability dlvr.it/Sp8vq9
dataversity.net
Data Explainability: The Counterpart to Model Explainability
Today, AI and ML are everywhere. Whether it’s everyone playing with ChatGPT (the fastest adopted app in history) or a recent proposal to add a fourth color to traffic lights to make the transition to...
Discover how to explain & interpret AI models with Responsible AI! Boost transparency, enable model fairness & enhance trust in AI solutions. #ResponsibleAI #Azure #ModelExplainability #AIethics 🌐🤖💡 techcommunity.microsoft.com/t5/ai-machine-…
6. Communicate effectively with stakeholders to explain the model's capabilities and limitations. Presenting technical knowledge can be challenging, especially to non-technical stakeholders. #ModelExplainability is an important step in a model's success. #MachineLearning
Know a thing or two about these?: - #Data and data quality, drift monitoring and troubleshooting - Performance monitoring - ML #ModelExplainability - Business impact analysis #ResponsibleAI Then you should apply to speak at the @arizeai 2023 virtual summit. Good luck!
. #callforpitches on #MLOps and #MachineLearning observability for the @arizeai 2023 summit. 🗓️April 25-26, Virtual, Free. Applications open til Feb 15 Past speakers included industry leaders at Uber, Kaggle, Coinbase, Shopify, Adobe, Etsy, etc.
How #ML #ModelExplainability Accelerates the #AI Adoption Journey for #Financial Services - @KDnuggets kdnuggets.com/2022/07/ml-mod…
kdnuggets.com
How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services - KDnuggets
Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.
In industrial applications of #DataScience, #ModelComplexity, #ModelExplainability, efficiency, and ease of deployment play a large role, even if that means you're settling for a slightly less accurate model. This is even more common for first-time baseline models.
The next generation of explainable AI needs to focus on interrogating the evidence that supports a model’s conclusion. What does that look like in practice? Featurespace's @DavidSutton explains: bit.ly/3HDqu3o #Fraud #ModelExplainability #ExplainableAI #FraudPrevention
RT What Are the Prevailing Explainability Methods? dlvr.it/SFsf72 #mlobservability #modelexplainability #mlmonitoring #explainability
Model açıklanabilirliği (Türkçe kaynak) >> yusufbaykaloglu.medium.com/model-explaina… #kartaca #softwaredevelopment #modelexplainability #modelaçıklanabilirliği #machinelearning #deeplearning #datascience
RT A Look Into Global, Cohort and Local Model Explainability dlvr.it/S81Bw4 #machinelearning #ai #modelexplainability #artificialintelligence
Model açıklanabilirliği (Türkçe kaynak) >> yusufbaykaloglu.medium.com/model-explaina… #kartaca #softwaredevelopment #modelexplainability #modelaçıklanabilirliği #machinelearning #deeplearning #datascience
Recap this week's Expert Interview Series with @resdntalien as he and @RobertsPaige discuss #AI, #ModelExplainability, #DataQuality for #MachineLearning & more: bit.ly/2LZYV85
Dr. Sourav Dey (@resdntalien) and Paige Roberts (@RobertsPaige) discuss #AugmentedIntelligence, the power of #MachineLearning, and #ModelExplainability in part 2 of our expert interview. sync.st/2OwUKTa
#MachineLearning models are more popular than ever, but can we trust them? @willem_meints will discuss #ModelExplainability at #dataMindsConnect, to understand how to crack open the black boxes. We'll dive into Explainers, tools, and techniques. datamindsconnect.be
Recap this week's Expert Interview Series with resdntalien as he and RobertsPaige discuss #AI, #ModelExplainability, #DataQuality for #MachineLearning & more: bit.ly/2LZYV85
RT What Are the Prevailing Explainability Methods? dlvr.it/SFsf72 #mlobservability #modelexplainability #mlmonitoring #explainability
Our Expert Interview Series with @resdntalien continues! Today, he & @RobertsPaige discuss #AugmentedIntelligence, #AI as Triage & the importance of #ModelExplainability: bit.ly/2mXMZsI
RT A Look Into Global, Cohort and Local Model Explainability dlvr.it/S81Bw4 #machinelearning #ai #modelexplainability #artificialintelligence
The next generation of explainable AI needs to focus on interrogating the evidence that supports a model’s conclusion. What does that look like in practice? Featurespace's @DavidSutton explains: bit.ly/3HDqu3o #Fraud #ModelExplainability #ExplainableAI #FraudPrevention
Making AI models explainable helps ensure trust, accountability, and the ability to trace decisions back to their data inputs. #ModelExplainability #Transparency #AICompliance
In today's Machine Learning Community Standup, we learn what model explainability is and why it's important to understand your model results. Join us: msft.it/6018nr9uK #MachineLearning #ResponsibleML #ModelExplainability
If you’re working with #MachineLearning models, do you know how exactly they arrive at their conclusions? Learn why this is important and when it should be a concern for enterprises: bit.ly/3nttV3V #ModelExplainability #BlackBox
What is #ModelExplainability and when should it be a concern for enterprises? Read on to learn more about this core problem in the #MachineLearning field: bit.ly/3eOyfXO
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