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K-SVD 관련 overview Lecture_KSVD.pdf (purdue.edu)

Problems and Pitfalls of Applying Least Squares Regression 1) outliers 2) non-linearities 3) too many variables 4) dependence among variables 5) wrong choice of error function 6) unequal training point variances (Heteroskedasticity) 7) wrong choise of features 8) noise in the independent variables Ordinary Least Squares Linear Regression: Flaws, Problems and Pitfalls | An analysis of the defects..

www.cs.ubc.ca/~schmidtm/Courses/LecturesOnML/ 90 Lectures on Machine Learning (Mark Schmidt) 90 Lectures on Machine Learning This is a collection of course material from various courses that I've taught on machine learning at UBC, including material from over 90 lectures covering a large number of topics related to machine learning. The notation i www.cs.ubc.ca

scikit-learn.org/stable/datasets/index.html 7.2. Toy datasets¶ scikit-learn comes with a few small standard datasets that do not require to download any file from some external website. They can be loaded using the following functions: load_boston(\*[, return_X_y]) Load and return the boston house-prices dataset (regression). load_iris(\*[, return_X_y, as_frame]) Load and return the iris dataset..

An overview of gradient descent optimization algorithms https://ruder.io/optimizing-gradient-descent/ An overview of gradient descent optimization algorithms Gradient descent is the preferred way to optimize neural networks and many other machine learning algorithms but is often used as a black box. This post explores how many of the most popular gradient-based optimization algorithms such as Mo..

deeplearning.mit.edu/ MIT Deep Learning Lectures: Introduction, Tutorials, Videos, and Course Materials Lectures and talks on deep learning, deep reinforcement learning (deep RL), autonomous vehicles, human-centered AI, and AGI organized by Lex Fridman (MIT 6.S094, 6.S099). deeplearning.mit.edu

1. pytorch 설치 greeksharifa.github.io/pytorch/2018/11/02/pytorch-usage-01-introduction/ 2. MT150 (보통 노트북에 장착된 GPU) 에 맞는 CUDA 설치 github.com/pytorch/pytorch/issues/28321 CUDA unavailable when pytorch 1.3.0. installed with cudatoolkit 10.1 · Issue #28321 · pytorch/pytorch 🐛 Bug torch.cuda.is_available returns false To Reproduce simply install pytorch conda install pytorch torchvision cudatoolkit=10...