![]() SVD)Ĭommon scenario: You try to get into machine learning and data science, but there's SO MUCH MATH.Either you never studied this math, or you studied it so long ago you've forgotten it all.What do you do?Well my friends, that is why I created this course.Linear Algebra is one of the most important math prerequisites for machine learning. Understand matrix rank and low-rank approximations (e.g. Understand matrix inverse, transpose, determinant, trace Understand dot products, inner products, outer products, matrix multiplication Understand vectors, matrices, and higher-dimensional tensors ![]() Genre: eLearning | Language: English | Duration: 83 Lectures ( 17h 5m ) | Size: 9.6 GBĪ Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers Free Download Math 0–1 Linear Algebra for Data Science & Machine LearningĬreated by Lazy Programmer Team,Lazy Programmer Inc.
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