Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
Learn the fundamental mathematical techniques and concepts used in machine learning and artificial intelligence to put you on your data science career path.
Duration
4 weeks
Weekly study
5 hours
Included in an ExpertTrack
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A solid foundation in mathematical knowledge is vital for the development of artificial intelligence (AI) systems. What are the key maths skills required to study machine learning and AI?
If you haven’t studied mathematics since school and have forgotten what you’ve learned, this primer course will provide you with the education you need.
The course will cover the three main branches of mathematics used in data science and artificial intelligence: linear algebra, calculus and probability. You’ll get to learn the essential topics of each of these three areas – from equations, functions and graphs to differentiation and optimisation and vectors and matrices.
Having mastered these concepts and techniques, you’ll have the foundational knowledge to kickstart your machine learning career.
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