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Tutorials & Reviews
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Methods for Non-Linear Least Squares Problems - K. Madsen, H.B. Nielsen, O. Tingleff
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Factor graphs for robot perception - Frank Dellaert, Michael Kaess
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Global Optimization for Geometric Understanding with Provable Guarantees - ICCV 2019
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Gaussian Process, not quite for dummies - Yuge Shi
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Lecture Notes
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Depth-image processing and point-cloud processing - Radu Horaud
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Linear Algebra Lectures - Gilbert Strang
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Linear Algebra Review and Reference - Zico Kolter (updated by Chuong Do and Tengyu Ma)
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Probabilistic Graphical Models (CS 228)
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Machine Learning (CS 229), Shervine Amidi cheat sheets, MIT Data Science tools
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