Certificate in Practical ML Project Management
-- ViewingNowThe Certificate in Practical ML Project Management course is a vital program designed to bridge the gap between theoretical machine learning (ML) knowledge and its successful application in real-world projects. This course addresses the rising industry demand for professionals who can manage ML projects effectively, ensuring successful deployment and delivering significant business value.
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โข Project Planning in ML: Defining project scope, setting goals and objectives, creating timelines, and determining resource requirements.
โข Data Management: Strategies for collecting, storing, and managing large and complex datasets in ML projects.
โข Model Development: Techniques for developing, testing, and validating ML models, including feature engineering and model selection.
โข Deployment and Maintenance: Steps for deploying ML models into production, including monitoring and maintaining model performance.
โข Ethics and Bias: Understanding ethical considerations in ML projects, including addressing issues of bias and fairness.
โข Communication and Collaboration: Strategies for effective communication and collaboration with stakeholders, including data scientists, engineers, and business leaders.
โข Continuous Improvement: Approaches for continuously improving ML models and projects, including experimentation and iteration.
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