Mathematics for Machine Learning - Formula Sheet
A sequence of 3 courses on the prerequisite mathematics for applications in data science and machine learning. Successful participants learn how to represent data in a linear algebra context and manipulate these objects mathematically. They are able to summarise properties of data sets and map them onto lower dimensional spaces with principal component analysis. Finally they can solve optimisation problems and use this skill to train models for describing data such as simple neural networks.
- Linear Algebra.
- Multivariate Calculus.
- Principal Component Analysis
Credential Id: AP6GGN4MLXXU
Certificate Link: https://www.coursera.org/account/accomplishments/specialization/AP6GGN4MLXXU
(Certificate earned on April 30, 2020)