eLearnAfrica
Mathematics for Data Science: Essential Mathematics for Machine Learning and AI
CloudSwyft Global Systems, Inc.
  • Start Date: 04 Jan, 2021
  • 4 weeks
  • Study Content: Videos


Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional.

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

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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.


What mathematics do I need to know to launch a career in artificial intelligence?


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.


The course is ideal for anyone who wishes to learn the core mathematics techniques and concepts required to help with their career in AI, machine learning and data science.


You may be planning to study in these areas, or you may be a student looking to improve your knowledge.
* Equations, Functions and Graphs
* Differentiation and Optimization
* Vectors and Matrices
* Statistics and Probability


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

CloudSwyft Global Systems, Inc.

This university is part of the partnership between eLearnAfrica and FutureLearn.

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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Effective Date: September 22, 2016