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Build a rock-solid foundation in linear algebra, calculus, and probability to truly master machine learning algorithms.
Imperial College London
Machine learning models are not just about algorithms. They also depend on math, and knowing that math has a big influence on the extent to which you master the field. This Mathematics for Machine Learning specialisation will teach you the principles that form the basis of every algorithm you'll encounter later. Instead of learning concepts and formulas by rote memorization, you'll understand why it is essential to understand maths for machine learning. And how different ideas are interrelated when dealing with real machine learning problems. Mathematics for Machine Learning course deals with the field of mathematics needed for machine learning. It will provide students with solid foundations before moving on to other advanced topics in AI or data science. No previous knowledge of advanced math is required, as everything is explained from scratch. After finishing this course, you will have enough knowledge of the math needed for machine learning to understand the technical documentation, courses, and projects you will deal with.
You will certainly understand the underlying reasons behind the operations of machine learning algorithms.
Such knowledge will reduce the obstacles while pursuing a degree in fields of machine learning and artificial intelligence.
This knowledge will definitely help you to solve problems even in other technical disciplines. .
A strong knowledge of mathematics will give you an edge in your job searches after graduation.
