Vector Calculus: This course covers Topology, Differentiation, Approximations and Automatic Differentiation and Integration. 4h 14m NLP with Python for Machine Learning Essential Training Course 140,464 viewers. Vector Calculus: Maths For ML Series Part 4 Mathematica 11 Machine Learning Course 176,774 viewers. Lecture 4: 03 04 SVD (Singular Value Decomposition) (17 min) Lecture 3: 03 03 Cholesky Decomposition and Eigendecomposition (17 min) Lecture 2: 03 02 Eigenvalues Eigenvectors (20 min) Matrix Decomposition: This course covers Matrix Determinant, Eigenvalues and Eigenvectors, Cholesky Decomposition and Eigen decomposition, and Singular Value Decomposition Matrix Decomposition: Maths For ML Series Part 3 Lecture 1: 02 01 Length Distance (25 mins) Lecture 5: 01 05 Linear Independence and Basis (23 mins)Īnalytic Geometry: Maths For ML Series Part 2Īnalytic Geometry: This course covers Lengths and Distances, Angles and Orthogonality, Orthogonal Projections and Rotations. Lecture 2: 01 02 Machine learning Basics (14 mins) Linear Algebra and Mathematical Foundation: This course covers machine learning key elements, vector space, matrices, linear independence and basis and linear maps. Course Overview & Lecturesĭuration: 12+ hours Linear Algebra and Mathematical Foundation: Maths For ML Series Part 1 He is currently working at a well-known Italian insurance company as a data scientist and Non-Life technical provisions evaluator. He graduated in physics and statistical and actuarial sciences. Fabio Mardero is a data scientist from Italy.
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