728x90 반응형 Data Science57 Linear Algebra for Machine Learning and Data Science (1) Systems of linear equationsMatrices are commonly used in machine learning and data science to represent data and its transformations. This week, you will learn how matrices naturally arise from systems of equations and how certain matrix properties can be thought of in terms of operations on systems of equations.Learning ObjectivesForm and graphically interpret 2x2 and 3x3 systems of linear equa.. 2024. 4. 3. Linear Algebra for Machine Learning and Data Science (0) What you'll learnRepresent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independenceApply common vector and matrix algebra operations like the dot product, inverse, and determinantsExpress certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problemsThere a.. 2024. 3. 23. Mathematics for Machine Learning and Data Science Specialization What you'll learnA deep understanding of the math that makes machine learning algorithms work.Statistical techniques that empower you to get more out of your data analysis.Specialization - 3-course seriesMathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly Specialization is where you’ll ma.. 2024. 3. 23. 이전 1 ··· 7 8 9 10 다음 728x90 반응형
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