Linear Algebra w/ Computer Science Application Resources? Computer Science

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• Linear Algebra w/ Computer Science Application Resources?
• Percentage of possible 32-bit patterns that are not valid FP32 values?
• 5 000€ bounty for disproving the linear scalability claims of our novel database design
• Does anyone know a MATLAB code for how to numerically represent a given matrix into H-Matrix (hierarchical matrix) format for a fixed tolerance?
• Creating and solving a 3d Rubiks cube using pyOpenGL-Livestream
• O'Reilly books
• Fast-Pytorch with Google Colab: Pytorch Tutorial, Pytorch Implementations/Sample Codes
• ICLR 2019 | Tsinghua, Google and ByteDance Propose Neural Networks for Inductive Learning & Logic…

Linear Algebra w/ Computer Science Application Resources? Posted: 08 May 2019 08:21 AM PDT Hey all, I just finished up my second year in my uni computer science program. This semester, I had taken an Intro to Linear Algebra course because it was a prereq for two other courses that I wanted to take, Intro to Artificial Intelligence and Computer Graphics. I felt like I did pretty decent in the course (likely a high B, maybe a low A) and I feel like I can confidently answer questions like "what's the nullspace of A" or "find the orthogonal projection onto B". However, I really don't know what any of it means or how it's really applicable. In all honesty, my professor really wasn't all that great (many students agreed). He often spent entire lectures on proofs and theoretical concepts that would go over our heads and we wouldn't really know how to approach the assigned problems. We usually had to resort to outside resources to learn concepts that we didn't cover in lectures. As a result, I feel like I can pass a linear algebra exam, but I don't feel like I understand the underlying concepts. Do you guys have any resources that tie linear algebra concepts with common computer science applications? I really want to hit the ground running in these upcoming courses, so any help would be greatly appreciated. Thanks in advance! Edit: Thank you all for your great suggestions! I'll likely be checking out 3Blue1Brown's YouTube channel, Coding the Matrix, and the No Bullshit Guide to Linear Algebra. submitted by /u/ElNumberoJuan [link] [comments]

Percentage of possible 32-bit patterns that are not valid FP32 values? Posted: 08 May 2019 09:47 PM PDT Also, if one were to do a memset(ptr, size, char) on a chunk of memory, could you conceivably use each of the possible 0x00->0xFF values for char and have the memory be full of an array of valid 32-bit floats? In other words, is every possible set of 4 repeating 8-bit values also a valid 32-bit float? submitted by /u/deftware [link] [comments]

5 000€ bounty for disproving the linear scalability claims of our novel database design Posted: 09 May 2019 03:51 AM PDT submitted by /u/andras_gerlits [link] [comments]

Does anyone know a MATLAB code for how to numerically represent a given matrix into H-Matrix (hierarchical matrix) format for a fixed tolerance? Posted: 08 May 2019 06:37 PM PDT submitted by /u/kotoamatsukami_crow [link] [comments]

Creating and solving a 3d Rubiks cube using pyOpenGL-Livestream Posted: 08 May 2019 02:46 PM PDT submitted by /u/john_sorrentino [link] [comments]

O'Reilly books Posted: 08 May 2019 08:28 AM PDT Hello Which O 'Reilly book is recommended for beginners level at coding/programming etc.? submitted by /u/lancome987 [link] [comments]

Fast-Pytorch with Google Colab: Pytorch Tutorial, Pytorch Implementations/Sample Codes Posted: 08 May 2019 08:24 AM PDT This repo aims to cover Pytorch details, Pytorch example implementations, Pytorch sample codes, running Pytorch codes with Google Colab (with K80 GPU/CPU) in a nutshell. It will be updated in time. Tutorial Link: https://github.com/omerbsezer/Fast-Pytorch Table of Contents: 🔥Fast Pytorch Tutorial Pytorch Playground 📗[Colab], 📓[Notebook] Model (Neural Network Layers) Optimizer Loss Functions Pooling Layers Non-linear activation functions Basic 2 Layer NN 🔥Fast Torchvision Tutorial ImageFolder Transforms Datasets Models Utils 🔥Pytorch with Google Colab 🔥Pytorch Example Implementations MLP MLP 1 Class with Binary Cross Entropy (BCE) Loss: 📗[Colab], 📓[Notebook] MLP 2 Classes with Cross Entropy Loss: 📗[Colab], 📓[Notebook] MLP 3-Layer with MNIST Example: 📗[Colab], 📓[Notebook] CNN CNN with MNIST Example: 📗[Colab], 📓[Notebook] Improved CNN with MNIST Example: 📗[Colab], 📓[Notebook] CNN Visualization CNN Visualization: 📗[Colab], 📓[Notebook] RNN RNN Text Generation: 📗[Colab], 📓[Notebook] Transfer Learning Transfer Learning Implementation: 📗[Colab], 📓[Notebook] DCGAN DCGAN Implementation: 📗[Colab], 📓[Notebook] ChatBot Chatbot Implementation: 📗[Colab], 📓[Notebook] 🔥Pytorch Sample Codes Extra: Reinforcement Learning Tutorial: https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo Extra: Image Generation With AI: Generative Models Tutorial with Python+Tensorflow Codes (GANs, VAE, Bayesian Classifier Sampling, Auto-Regressive Models, Generative Models in RL) https://github.com/omerbsezer/Generative_Models_Tutorial_with_Demo Extra: LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow https://github.com/omerbsezer/LSTM_RNN_Tutorials_with_Demo submitted by /u/obsezer [link] [comments]

ICLR 2019 | Tsinghua, Google and ByteDance Propose Neural Networks for Inductive Learning & Logic… Posted: 08 May 2019 08:21 AM PDT submitted by /u/Yuqing7 [link] [comments]

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