Collection for Learning Algorithms and Data Structures for Beginners Computer Science |
- Collection for Learning Algorithms and Data Structures for Beginners
- Sources for theoretical understaning of git?
- Top 50 Coursera Guided Projects
- url redirection vulnerability explained
- Best Tips On How To Do Statistics Homework Fast
- Study at home : how to stay focused while studying
- Electricity flow as graph path minimization problem?
- Symbolic Computation on CUDA/OpenCL?
- [leetcode 5 ]Got some problem in dynamic programming longest Palindrome substring problem. How to fix it?
- Best Comparison of Data Analyst vs Data Scientist
- Latest from Microsoft researchers: High-quality video inpainting!
- [R] Meet ByteDance AI’s Xiaomingbot: World’s First Multilingual and Multimodal AI News Agent
- Difference between C and C++ Programming Languages
- [R] Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch
- How to find ideas for first projects for beginners
- How to have JS keyboard input output to CSS/HTML "grid"
- Types of Cables
- This tutorial shows you how to implement a VM in JavaScript and learn assembly language / machine language and how CPUs work. Link in the comments.
Collection for Learning Algorithms and Data Structures for Beginners Posted: 21 Jul 2020 08:06 AM PDT Hello everyone, I hope you're doing well. One of my friends wants to learn programming. So, he asked me which language to start. I never believed, learning a specific language is so much related to learn coding. I agree with Kevin's advice in this video. Best way to learn programming is to solve your own problem and make toys with it. So, you can find small problems that you care about, and try to solve them. Of course, after learning couple of basics. I think those basics are data structures and algorithms. Start learning those and choosing any language to implement them would be a great start. I'm also not a big believer in online courses. The Internet is a big library of different resources. I know it's a mess and it's hard to find useful pieces. Also, it's almost impossible to know where to start as a beginner. Therefore, I have curated a list of articles, depositories, videos and exercises as a micro-course for data structures and algorithms. I thought this sub might like this, hope it helps :) Here's the collection: Algorithms and Data structures [link] [comments] |
Sources for theoretical understaning of git? Posted: 21 Jul 2020 10:29 AM PDT I have seen many posts where git is explained for Developers and though that is important, I myself being a CS undergrad wanted to learn the theoretical side of it and how it is implemented. So just want some sources. [link] [comments] |
Top 50 Coursera Guided Projects Posted: 22 Jul 2020 04:52 AM PDT Please exuse the typo in url in my previous post. Here's the correct link: Top 50 Guided Projects on Coursera [link] [comments] |
url redirection vulnerability explained Posted: 22 Jul 2020 03:44 AM PDT Today's learning url redirection issue, High pay cyber security 100 unique web security issues learning easily in just 20 hours for cyber security jobs. Search in YouTube for "uday datrak 100 bug bounty lessons" https://www.youtube.com/watch?v=rFKoHlJ_SG0 [link] [comments] |
Best Tips On How To Do Statistics Homework Fast Posted: 22 Jul 2020 01:56 AM PDT |
Study at home : how to stay focused while studying Posted: 21 Jul 2020 10:50 PM PDT |
Electricity flow as graph path minimization problem? Posted: 21 Jul 2020 02:28 PM PDT I was looking at this post and made me think about graph path finding problems https://www.reddit.com/r/gifs/comments/hv9qsn/electricity_finding_the_path_of_least_resistance/. So what I understand happens is the electrical current looks at all possible paths at simultaneously, and converges to the path of least resistance. Im wondering if you model this as a graph problem, with resistance being edge weights. Would it be meaningful to say this is natures way of solving the shortest path problem in in non exponential time? Or would that just not make sense as this is not a turning machine, but rather a radically different model of computation? [link] [comments] |
Symbolic Computation on CUDA/OpenCL? Posted: 21 Jul 2020 05:36 PM PDT Covid has given me a lot spare time recently so I started working on a concept-oriented language idea I've had. It is meant to be an abstraction above current high level languages and models concepts largely as arrays or nested arrays. Perfect, I think, for GPUs but I am a novice. Is there a good place to start with symbolic/gpu computing? I was also thinking about the Numba/JIT route or even Pure/LLVM but I really need something relatively simple for just demonstrating and prototyping. I was considering Sympy but it has issues with performance and is not gpu friendly as far as I can tell. Maybe I am just in over my head though and just need to be patient and learn which I am willing to do. I appreciate any help! My Google efforts have been in vain. [link] [comments] |
Posted: 21 Jul 2020 11:11 PM PDT input: babad abbd output: ad bb expected: bab bb [link] [comments] |
Best Comparison of Data Analyst vs Data Scientist Posted: 21 Jul 2020 10:29 PM PDT |
Latest from Microsoft researchers: High-quality video inpainting! Posted: 21 Jul 2020 06:40 PM PDT |
[R] Meet ByteDance AI’s Xiaomingbot: World’s First Multilingual and Multimodal AI News Agent Posted: 21 Jul 2020 11:25 AM PDT In a bid to develop more versatile and user-friendly intelligent robot reporters, researchers from ByteDance AILab and Shanghai Jiao Tong University have introduced Xiaomingbot, a multilingual and multimodal news reporter that is able to:
Here is a quick read: Meet ByteDance AI's Xiaomingbot: World's First Multilingual and Multimodal AI News Agent The paper Xiaomingbot: A Multilingual Robot News Reporter is on arXiv. [link] [comments] |
Difference between C and C++ Programming Languages Posted: 21 Jul 2020 10:34 PM PDT |
[R] Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch Posted: 21 Jul 2020 02:40 PM PDT In a recent ICML paper, Google researchers propose an "AutoML-Zero" approach designed to automatically search for machine learning (ML) algorithms from scratch, requiring minimal human expertise or input. Starting from empty programs, AutoML-Zero uses only basic mathematical operations as building blocks and applies evolutionary methods to automatically find the code for complete ML algorithms. Here is a quick: Automating Machine Learning: Google AutoML-Zero Evolves ML Algorithms From Scratch The paper AutoML-Zero: Evolving Machine Learning Algorithms From Scratch is on arXiv and the open-sourced code is on GitHub. [link] [comments] |
How to find ideas for first projects for beginners Posted: 21 Jul 2020 01:20 PM PDT |
How to have JS keyboard input output to CSS/HTML "grid" Posted: 21 Jul 2020 05:02 PM PDT Hi everyone, I would like help on my Sudoku grid website. I am having trouble on inputting a number entered by user to be outputted to a data-index card from HTML, as well as inputting that number into a 2D array in the .JS grid Please answer here Since there will be a lot of CSS/JS code, I will actually offer 10$ to the first one who can send me a solution [link] [comments] |
Posted: 21 Jul 2020 08:31 PM PDT |
Posted: 21 Jul 2020 04:10 PM PDT |
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