Mathematics for Machine Learning Tutorial (3 Complete Courses in 1 video)

TIME STAMP IS IN COMMENT SECTION

For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science

At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning.

⭐ Important Notes ⭐
⌨️ This course is created in collaboration with Imperial college London

#mathematicsformachinelearning,
#machinelearningmathematics,
#mathformachinelearning,
#mathsformachinelearning,
#mathematicsrequiredformachinelearning,
#mathematicsneededformachinelearning,
#mathematicsofmachinelearning,
#mathematicsbehindmachinelearning,
#math,
#linearalgebramathematics,
#machinelearningmathematicscourse,
#mathematicsmultivariatecalculus,
#mathematicsprobability,
#machinelearningmathexplained
#machinelearning,
#mathematicslinearalgebramachinelearning
mathematics for machine learning
machine learning mathematics
math for machine learning
maths for machine learning
mathematics required for machine learning
mathematics needed for machine learning
mathematics of machine learning
mathematics behind machine learning
math
linear algebra mathematics
machine learning mathematics course
mathematics multivariate calculus
mathematics probability
machine learning math explained