edX
edXEssential Math for AI Programming & Data Structures
1k studentsADVANCEDEnglish
Korshub's take
Mathematics Meets Artificial Intelligence
AI requires mathematical foundations that many self-taught programmers lack. This advanced course builds fluency in discrete mathematics, calculus, linear algebra, and probability—all framed around AI applications. You'll move from abstract concepts to implementing solutions in Python using NumPy, scikit-learn, Pandas, and Matplotlib.
Rather than memorize formulas, you'll understand why each mathematical tool matters and when to apply it in data analysis, machine learning, and algorithm design.
About this course
To recall and articulate the fundamental concepts and principles of discrete math, calculus, linear algebra, and probability theory. ,To apply the acquired knowledge to solve problems across various areas of artificial intelligence. ,To gain familiarity with essential Python packages for data analysis, visualization, numeric computing, and machine learning. ,To write and debug simple programs in Python, including using functions, object-oriented programming, and built-in data structures like lists and dictionaries. ,To understand and be able to use basic functionality in NumPy, Matplotlib, Sci-kit learn, and Pandas.
Price
$150
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