Introduction to Machine Learning - Course Syllabus

This introductory course provides hands-on experience with machine learning concepts, techniques, and real-world applications. Students will explore fundamental topics including classification, training processes, inference, and linear regression through practical lab exercises and projects. The course emphasizes conceptual understanding and applied skills using industry-standard tools and environments. Students will progress from basic machine learning concepts to implementing solutions for automated decision-making tasks, building the foundational knowledge essential for careers in Applied Artificial Intelligence and pursue higher learning.

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