A friendly introduction to

linear algebra for Machine Learning

A friendly introduction to linear algebra for ML
In 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.

Chapters:
0:00 – Introduction
1:37 – Data Representations
15:02 – Vector Embeddings
31:52 – Dimensionality Reduction
37:11 – Conclusion

Resources:
Google Developer’s ML Crash Course on Collaborative Filtering → https://goo.gle/3pAVXM6
Eigenvectors and Eigenvalues” by 3Blue1Brown →

https://goo.gle/3pECpWU
Introduction to Linear Algebra” (5th ed) by Gilbert Strang →

https://goo.gle/2RFR1sP

Linear Algebra – Math for Machine Learning

Another very interesting overview can be found on this other video, that covers the core ideas from linear algebra that you need in order to do machine learning.

danielparente

Emprendedor en el sector de los videojuegos, tecnologica y educación. + de 20 años en videojuegos. CEO de Hydra Interactive. Fundador de Devsfromspains.