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Syllabus
Syllabus
Over the course of three weeks, which will start on Sunday, May 26th, 2024, four lectures each week, we delve into the foundational principles and practical applications that underpin Machine Learning.
Mathematics Fundamentals
Programming in Python
Artificial intelligence
Week 1
Week 1
Mathematics Week: This week focuses on essential mathematical concepts relevant to AI, such as Statistics and Probability, Linear Algebra, and Calculus.
Week 2
Week 2
Programming in Python Week: In the second week, you'll refresh Python basics, you'll also learn Pandas for data manipulation, Numpy for numerical computations, and Scikit-Learn for machine learning tasks such as importing datasets, train-test splitting, and classification modeling.
Week 3
Week 3
Artificial Intelligence week: Delve into Artificial Intelligence, focusing on concepts of Regression and Classification (supervised learning). We'll also engage in practical exercises.
If you are completely new to Machine Learning, we've got you covered with a simple roadmap to get you started, introduced by Google DSC UofK ML Study Jams.
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