Mathematics for Machine Learning

Great Learning offers a free online course on Mathematics for Machine Learning, covering a range of topics that are crucial for anyone looking to get started with data science and machine learning. The course is designed to provide learners with a solid foundation in mathematics, focusing specifically on concepts that are relevant to machine learning.

One of the key topics covered in the course is the Chain Rule, which is essential for understanding the calculus involved in optimization algorithms used for training ML models. The course also covers the differential of a function, which is fundamental to calculus and is used extensively in machine learning.

Another topic covered in the course is the amount of mathematics that is required for data science. This is an important consideration for anyone looking to work in the field, as it helps learners to understand the level of mathematical proficiency that is required for different roles.

The course also covers Line Concepts, which are essential for representing data using vectors and matrices, and for understanding linear transformations. Additionally, learners will explore Line Concept Maxima and Minima application in Machine Learning, which is important for understanding optimization algorithms.

Finally, the course covers Lines, Planes, and Hyperplanes, which are fundamental concepts in linear algebra and are used extensively in machine learning.

Overall, this free course on Mathematics for Machine Learning by Great Learning is an excellent resource for anyone looking to develop their mathematical skills and build a strong foundation in machine learning concepts.