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No-Code Model Evaluation, Communication, and Business Impact

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues. Consultez les langues disponibles.

No-Code Model Evaluation, Communication, and Business Impact

Ce cours fait partie de Spécialisation "No-Code Machine Learning and Data Science for Everyone"

Instructeur : LearnQuest Network

Inclus avec

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

3 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

3 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Responsible AI
Catégorie : Continuous Quality Improvement (CQI)
Catégorie : Performance Measurement
Catégorie : Business Analytics
Catégorie : Data-Driven Decision-Making
Catégorie : Technical Communication
Catégorie : Process Improvement and Optimization
Catégorie : Business Communication
Catégorie : Model Evaluation
Catégorie : Key Performance Indicators (KPIs)
Catégorie : Performance Analysis
Catégorie : Performance Improvement
Catégorie : Management Reporting
Catégorie : Dashboard Creation
Catégorie : Auditing
Catégorie : Data Storytelling
Catégorie : Business Reporting
Catégorie : Predictive Modeling
Catégorie : Predictive Analytics

Outils que vous découvrirez

Catégorie : No-Code Development

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

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Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "No-Code Machine Learning and Data Science for Everyone"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

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Acquérez une compréhension de base d'un sujet ou d'un outil
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Il y a 3 modules dans ce cours

Develop a thorough understanding of model evaluation beyond accuracy—a vital skill in professional business analytics. Test models against constantly changing data, compare competing solutions, and adjust strategies for maximum reliability and business fit.

Détails du module

Gain confidence evaluating machine learning models far beyond basic accuracy. This module empowers you to judge business relevance, reliability, and real-world performance—combining hands-on, no-code analysis with actionable strategies. You’ll learn to test models against changing data, recognize risks like overfitting or data drift, and communicate insights for better decision-making across teams. By mastering these skills, you’ll drive business value and ensure every model meets professional standards. Get ready to unlock sharper, more resilient analytics for your organization.

Inclus

8 vidéos2 lectures2 devoirs

8 vidéosTotal 23 minutes

Interpret and Test Models for Real-World Reliability2 minutes
Visualize accuracy, precision, and recall with automated plots3 minutes
Set controlled test environments3 minutes
Export evaluation results for cross-team review3 minutes
Automate retraining processes upon data drift detection3 minutes
Use sandbox mode to test overfitting scenarios3 minutes
Compare model performance across multiple timeframes3 minutes
From Engagement to Trust2 minutes

2 lecturesTotal 10 minutes

Action Story: When Model Accuracy Isn’t the Whole Story5 minutes
Action Story: When Your Model Starts Lying Quietly5 minutes

2 devoirsTotal 36 minutes

Best Practices in Model Evaluation with No-Code Tools10 minutes
Interpret and Test Models for Real-World Reliability26 minutes

Transform powerful model outputs into business impact—this module empowers professionals to communicate machine learning results with clarity and confidence. Learners will master the art of translating technical predictions into actionable, audience-specific recommendations, flexing for local business needs and regulatory settings. By embedding rigorous documentation, audit trails, and transparent processes, participants will champion responsible AI practices in global organizations. Expect practical techniques, cutting-edge tools, and new confidence driving ethical, actionable insights for your workplace.

Inclus

7 vidéos2 lectures2 devoirs

7 vidéosTotal 17 minutes

Business-Focused Insights Communication and Responsible ML2 minutes
Present actionable recommendations using interpretable models3 minutes
Tailor insights and context for specific regional markets3 minutes
Use translation tools for Spanish-speaking business audiences2 minutes
Create audit-ready documentation for every model run3 minutes
Track decision processes to support responsible ML governance2 minutes
Ensure transparency with region-specific regulatory mapping2 minutes

2 lecturesTotal 10 minutes

Action Story: When the Numbers Don’t Tell the Story Yet5 minutes
Action Story: When the Audit Arrives Early5 minutes

2 devoirsTotal 36 minutes

Interpreting Predictions for Decision-Making10 minutes
Business-Focused Insights Communication and Responsible ML26 minutes

Turn analytics into real results by linking machine learning outcomes to business performance. This module prepares learners to build dynamic dashboards, automate insights delivery, and translate regional data into optimization strategies. Master collaboration in interactive analytics spaces, drive continuous enhancement cycles, and nurture a culture of data-driven improvement across teams. Equip yourself and your organization for sustainable success by embedding analytics into the heart of business growth, ensuring long-term impact and advancement.

Inclus

8 vidéos2 lectures2 devoirs

8 vidéosTotal 17 minutes

Driving Change and Continuous Improvement2 minutes
Building business dashboards that translate model results to KPIs2 minutes
Automating report generation for monthly business reviews2 minutes
Analyzing regional variations in impact for optimization2 minutes
Sharing interactive analytics spaces for real-time collaboration2 minutes
Establishing ongoing improvement cycles with feedback triggers2 minutes
Leading cross-functional teams for scalable data adoption2 minutes
Specialization Complete: More to Explore2 minutes

2 lecturesTotal 10 minutes

Action Story: When Metrics Don’t Match the Mission5 minutes
Action Story: When Collaboration Turns into Confusion5 minutes

2 devoirsTotal 40 minutes

Connect Model Outcomes to Key Business Metrics10 minutes
Drive Change and Continuous Improvement30 minutes

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