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