Roadmap

  Machine Learning Engineer Roadmap Prerequisites Mathematics Linear Algebra : ✅Introduction to Linear Algebra Vectors and scalars Vector operations (addition, subtraction, scalar multiplication) Vector spaces and subspaces ✅Matrix Algebra Matrix operations (addition, multiplication) Determinants Inverse matrices Transpose Rank of a matrix ✅Vector Spaces Linear independence Basis and dimension Inner product spaces Orthogonality and orthonormal basis ✅Eigenvalues and Eigenvectors Characteristic equation Diagonalization of matrices Applications in machine learning (e.g., PCA) ✅Singular Value Decomposition (SVD) Definition and calculation Applications in dimensionality reduction and recommendation systems Calculus : ✅Differential Calculus Limits and continuity Derivatives and rules of differentiation Applications in optimization (gradient descent) ✅Integral Calculus Definite and indefinite integrals Techniques of integration Applications in probability density functions and cumulative...