linear algebra for Machine Learning<\/p>\n
A friendly introduction to linear algebra for ML Chapters: Resources:
\nIn this interesting session of Machine Learning Tech Talks, Tai-Danae Bradley, Postdoc at X, the Moonshot Factory, shares a few ideas for linear algebra that appear in the context of Machine Learning. <\/span><\/p>\n
\n0:00<\/a> – Introduction<\/span>
\n1:37<\/a> – Data Representations<\/span>
\n15:02<\/a> – Vector Embeddings<\/span>
\n31:52<\/a> – Dimensionality Reduction<\/span>
\n37:11<\/a> – Conclusion<\/span><\/p>\n
\nGoogle Developer\u2019s ML Crash Course on Collaborative Filtering \u2192 https:\/\/goo.gle\/3pAVXM6<\/a>
\nEigenvectors and Eigenvalues\u201d by 3Blue1Brown \u2192 <\/span><\/p>\n