Top Tweets for #ModelExplainability
#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.
https://t.co/K2RSDLIrdm
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: https://t.co/ftjp061IDt
#MachineLearning #ResponsibleML #ModelExplainability
๐จโ๐ป๐My #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
https://t.co/nHHamP4p2y
๐จโ๐ป ๐This Thursday at noon, I will be presenting the results of my #DataScience @faculty_ai fellowship project with @JustEatUK on data-driven menu optimisation. Join to learn about my work on #ModelExplainability techniques to uncover the most important menu features #AI #ML
Demo Day is back! Our fellows will present their cutting-edge #datascience projects and demonstrate how weโre applying #AI for some of the UK's fastest-growing startups to well-established organisations. Sign up here: https://t.co/JAdXg7jlDu #FacultyDemoDayXVII #machinelearning
New release of DALEX - Model Agnostic Language for Exploration. Release Note: https://t.co/qwhjnRe2FG Examples: https://t.co/P6S7XitZVC #MachineLearning #AI #ModelExplainers #ModelExplainability #DataScience #Python
Reducing engineering complexity and increasing #ModelExplainability are two steps needed to increase the adoption of #MachineLearning by network analysts. Stay tuned for more info from CounterFlow this month!
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 https://t.co/dm16nJUfXA
#Ople #Live #Webinar #DataScience #AI #ArtificialIntelligence #MachineLearning #EnterpriseAI
Why Is #ModelExplainability The Next #DataScience Superpower?
The 5 most important applications are:
* Debugging
* Informing feature engineering
* Directing future data collection
* Informing human decision-making
* Building Trust
https://t.co/9FlTQWTuce
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 https://t.co/dm16nJUfXA
#Ople #Live #Webinar #DataScience #AI #ArtificialIntelligence #MachineLearning #EnterpriseAI
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 https://t.co/dm16nJUfXA
#Ople #Live #Webinar #DataScience #AI #ArtificialIntelligence #MachineLearning #EnterpriseAI
Interesting article: Decrypting your Machine Learning model using LIME https://t.co/dgs4KCVZDw #AI #MachineLearning #python #ModelExplainability @GianniBarlacchi @leriomaggio @m_guerini @Turchi_Marco @mdigangiPA @BSearcher @myntra
Recap this week's Expert Interview Series with @resdntalien as he and @RobertsPaige discuss #AI, #ModelExplainability, #DataQuality for #MachineLearning & more: https://t.co/vLto7cddoo
Dr. Sourav Dey (@resdntalien) and Paige Roberts (@RobertsPaige) discuss #AugmentedIntelligence, the power of #MachineLearning, and #ModelExplainability in part 2 of our expert interview. https://t.co/GJ0Izkf0pC
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