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In-depth review of Andrew Ng's Deeplearning.ai courses (and comparison to Jeremy Howard's Fast.AI) - 2017
Andrew Ng’s new adventure is a bottom-up approach to teaching neural networks — powerful non-linearity learning algorithms, at a beginner-mid level. Jeremy’s FAST.AI course puts you in the drivers seat from the get-go. He teaches you to move the steering wheel, press the brake, accelerator etc.
AI  ML  NeuralNet  CompSci  programming  Math  statistics  MOOC  Learning  Tutorial 
16 hours ago by mfernando
Blockchain 101 - Foundational Math (2017)
In this series of articles, I aim to give you a gentle introduction into the world of blockchain development, or what I call “Blockchain 101". It sounds like a university course and it’s meant to be about at that level. You can read the posts here and get something out of them, but to get the full benefit, take time to do the exercises so you can really get an understanding of what’s going on. In today’s article, we’re going to start on the foundational math. Our goal is to get you comfortable with finite fields and elliptical fields, which is a prerequisite to elliptical curve cryptography - the math behind blockchain.
BTC  ETH  Blockchain  CompSci  Programming  Learning  Tutorial 
yesterday by mfernando
GeeksforGeeks | A computer science portal for geeks
A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
compsci  algorithms  interview 
3 days ago by vitriolix
Papers I like (part 2) | The ryg blog
Continued from part 1. Once I was about a thousand words into describing background for GEMM, it became pretty clear that it made more sense to group the numerical math papers into one post, so here goes the (out-of-order) numerical linear algebra special issue. 11. Goto, van de Geijn-"Anatomy of high-performance matrix multiplication" (2008; numerical…
papers  compsci  math 
3 days ago by geetarista
Whitespace (programming language) - Wikipedia
Whitespace is an esoteric programming language developed by Edwin Brady and Chris Morris at the University of Durham (also developers of the Kaya and Idris programming languages). It was released on 1 April 2003 (April Fool's Day). Its name is a reference to whitespace characters. Unlike most programming languages, which ignore or assign little meaning to most whitespace characters, the Whitespace interpreter ignores any non-whitespace characters. Only spaces, tabs and linefeeds have meaning.[1] An interesting consequence of this property is that a Whitespace program can easily be contained within the whitespace characters of a program written in another language, except possibly in languages which depend on spaces for syntax validity such as Python, making the text a polyglot.
programming  language  humor  education  cs  compsci 
5 days ago by wjy

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