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For Code, Slides and Notes
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Linear Algebra for machine learning by Fahad Hussain.

The course design in such a way to kick start the career in machine learning using the basic understanding about Linear Algebra and its application in A.I from scratch. In this course we will learn theory and practical (Python) of the topics: Vector and its Operations Vector/Point distance Norm I and Norm II Unit Vector Dot product VS Cross Product Angle between two vector Vector Projection Line VS Place Vs Hyperplane If the line passing through origin Matrix Matrix Types Matrix Operations Eign Value and Eign Vector Factorization/Decomposition Eign Decomposition SVD PCA and LDA and more Purely algebra related ML/DL/DS equations and its solution.

Fahad Hussain, prepared this course based on latest trending, basic concept and state of the art practical approach from VERY SCRATCH!!! Stay in touch if you have any query, suggestion do comment! Do subscribe the channel and share to others learner, because this is not only the course it is your dream to start your career in Artificial Intelligence!!!

Do subscribe the channel and share to others learner, because this is not only the course it is your dream to start your career in Artificial Intelligence!!!

For Complete course Playlist's YouTube Channel:
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