{"@context":"https://w3id.org/openbadges/v2","id":"https://milestone.campuslabs.com/api/v20/badge/977546223/","uid":"977546223","name":"Machine Learning","description":"The Machine Learning badge is an introduction to the field of modeling learning with computers. Learners will experience topics that include explorations of inductive learning, learning decision trees, ensemble learning, computational learning theory and statistical learning methods.","type":"BadgeClass","image":"https://milestone.campuslabs.com/milestone/media/badge_image_uploads/2025/09/12/HC_SA_CompSci_MachingLearning_F.png","criteria":{"id":"https://milestone.campuslabs.com/org/1323717515/badge/977546223","narrative":":multi: This FOUNDATIONAL level badge is equivalent to a 3-credit, master’s-level course. A final grade of B or better is required to earn this badge. -- 1. Understand key concepts like decision trees, ensemble learning and statistical methods.\n2. Design, implement and optimize machine learning models using Python frameworks (e.g., Scikit-learn, TensorFlow).\n3. Perform data preprocessing, feature engineering and exploratory analysis for ML readiness.\n4. Use metrics (e.g., precision, recall, F1-score) and hyperparameter tuning to improve model performance.\n5. Work effectively in teams to solve complex problems and communicate solutions clearly.\n6. Analyze research papers and apply findings to practical machine learning challenges.\n7. Address ethical concerns like bias, transparency and accountability in AI applications.\n8. Present results using tools like Matplotlib, Seaborn or TensorBoard.\n9. Complete a real-world project applying machine learning techniques creatively and effectively.\n10. Build a foundation for adapting to advances in machine learning and AI technologies.. "},"issuer":"https://milestone.campuslabs.com/api/v20/issuer/1323717515/","tags":["Artificial Intelligence","Data Analysis","Machine Learning","Programming","Problem Soliving","Ethics in AI","Model Optimization"],"alignment":[{"targetName":"Communication","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will communicate clearly and effectively in oral, written and/or visual formats, consistent with the standards of their discipline.","targetCode":"GSO_Comm"},{"targetName":"Critical Reasoning","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will approach content and tasks with a critical awareness, framed by knowledge and skills appropriate to their discipline.","targetCode":"GSO_CriReas"},{"targetName":"Problem Solving","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will apply advanced disciplinary content knowledge and strategies to understand and address problems and questions relevant to their discipline and to which they have not previously been introduced.","targetCode":"GSO_ProbSolv"},{"targetName":"Diversity","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will recognize and engage diverse ideas, perspectives and/or traditions that inform their discipline, profession and graduate experience.","targetCode":"GSO_Div"},{"targetName":"Professionalism","targetUrl":"https://www.hood.edu/offices-services/institutional-assessment/institutional-learning-outcomes","targetDescription":"The badge earner will engage in legal, ethical and professional behaviors consistent with their discipline, including leadership, teamwork and/or other responsibilities to key stakeholders.","targetCode":"GSO_Prof"}]}