Machine learning uses data, rather than explicit instructions, to guide computation. Machine learning is usually included within the larger field of artificial intelligence (AI), and can be used for tasks such as prediction, classification, pattern recognition, and content generation. This introductory course students will learn the main concepts that are foundational to machine learning, with a primary focus on supervised learning methods. Prerequisites: COMP 2230 (min. grade of C) or COMP 2231 (min. grade of C) and MATH 1650 (min. grade of C) or MATH 1651 (min. grade of C) or STAT 1200 (min. grade of C) or STAT 1201 (min. grade of C)
Machine learning uses data, rather than explicit instructions, to guide computation. Machine learning is usually included within the larger field of artificial intelligence (AI), and can be used for tasks such as prediction, classification, pattern recognition, and content generation. This introductory course students will learn the main concepts that are foundational to machine learning, with a primary focus on supervised learning methods. Prerequisites: COMP 2230 (min. grade of C) or COMP 2231 (min. grade of C) and MATH 1650 (min. grade of C) or MATH 1651 (min. grade of C) or STAT 1200 (min. grade of C) or STAT 1201 (min. grade of C)
