machine learning METHODS
Johns Hopkins University Certificate of CompletionCurriculum designed and delivered by JHU FacultyStart the course anytime through open enrollmentLIVE monthly seminars with JHU FacultyEngaging learning including video lectures and hands-on activities
Course starts on February 3, 2025. Investment: $500
4 Weeks • 20 Hours • Online
• Hands-on Projects • $500
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 2 Continuing Education Units (CEUs) upon program completion.
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This course delves into advanced machine learning techniques and applications, providing a comprehensive exploration of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Emphasizing practical implementations, students will learn to apply these sophisticated methods to tackle complex problems and optimize machine learning models for enhanced performance. Modules cover ensemble methods, regression analysis, unsupervised learning, and decision-making through reinforcement learning and apriori analysis.
The course is for professionals looking to advance their expertise in practical machine learning methods, including supervised learning, data preprocessing, and feature engineering.
Data ScientistsData AnalystsBusiness StrategistsMachine Learning EngineersSoftware EngineersDesigned by JHU Faculty, this curriculum delves into advanced machine learning techniques, empowering learners with cutting-edge skills for tackling complex problems.
Advanced Machine Learning Techniques
Ensemble Learning
Regression Analysis
Pattern Recognition
Clustering and Dimensionality Reduction
Apriori Analysis for Rule MiningUnsupervised Learning
Ethical Considerations in ML
Reinforcement Learning
Enhance your knowledge through monthly live seminars designed to deepen your expertise.
JHU faculty are available to answer questions directly through the course site.
Learn at your own pace with engaging and helpful learning materials such as video lectures, relevant readings, and case studies.
Hands-on activities that help you demonstrate competence and enabling reskilling and upskilling.
Boost your AI and ML skills with leading educators
Johns Hopkins University Instructor
Dr. Guven is a leading researcher at Johns Hopkins University specializing in applied machine learning. His expertise spans computer vision, data processing, and supervised learning, with significant contributions to practical machine learning applications for real-world issues. His work focuses on developing advanced algorithms for robust data analysis and modeling.
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects • $500
Submit your details below to learn more about the course curriculum, benefits, fee and more.
Submit your details below to learn more about the course curriculum, benefits, fee and more.
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