Translated:books: Essential foundational knowledge for technical interviews, Leetcode, computer operating systems, computer networks, system design
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🤪 A list of funny and tricky JavaScript examples
- javascript
- specification
- handbook
- notes
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
⏱️ Notes and resources related to v8 and thus Node.js performance
☀️ A 17kb Preact & Redux based Progressive Web App that provides relevant information to the user outside of the tab.