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Imperial College London
The 'Mathematics for Machine Learning Specialization' by Imperial College London on Coursera is a beginner-level, three-course program bridging the gap between underlying mathematics and their application in data science. Instructed by David Dye and others, the curriculum covers linear algebra, multivariate calculus, and dimensionality reduction with Principal Component Analysis (PCA). Students learn to relate vectors, matrices, and gradients to machine learning, implementing concepts in Python using interactive Jupyter notebooks. The self-paced program features mini-projects like calculating page rank and training a neural network. Earning the shareable career certificate requires completing all courses. Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates.
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Available programs (1)
Mathematics for Machine Learning Specialization
- Duration
- Overview: 4 weeks at 10 hours a week. FAQ: 3/4 hours a week for 3 to 4 months. These are separate provider estimates;no combined completion promise is inferred.
- Level
- Beginner level
- Format
- 100% online, self-paced course
- Credential
- Provider-issued certification
- Prerequisites
- High school maths knowledge is required. Basic knowledge of Python can come in handy, but it is not necessary for courses 1 and 2. For course 3 (intermediate difficulty) you will need basic Python and numpy knowledge to get through the assignments.
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