course-content
computer-science
course-content | computer-science | |
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14 | 1,081 | |
2,591 | 162,970 | |
0.8% | 1.2% | |
7.9 | 7.7 | |
2 months ago | 26 days ago | |
Jupyter Notebook | ||
Creative Commons Attribution 4.0 | MIT License |
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course-content
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Can a CS student get a phd In Neuroscience?
Yes. And if you want to get a jump start on what a computational neuroscience PhD might look like, check out our materials at https://compneuro.neuromatch.io. Like a PhD in a box... and all free to use/explore!
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Ask HN: How to get back into AI?
The neuromatch computational neuroscience course also seems quite interesting, though maybe less of practical use.
https://compneuro.neuromatch.io/
Recent research like "Relating transformers to models and neural representations of the hippocampal formation" might make it more relevant though (https://arxiv.org/abs/2112.04035v2)
quote from the abstract of that paper:
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Looking for neuro-related research ideas for a masters in mathematics
check out the curated datasets and project outlines for Neuromatch Academy's computational neuroscience course for some inspiration! https://compneuro.neuromatch.io
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How can I become a strong candidate for a comp. neuroscience MS/Ph.D. program?
One possible thing I saw is taking https://compneuro.neuromatch.io/ courses, Although I'm not sure of the effect it adds to my CV.
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AskScience AMA Series: We are seven leading scientists specializing in the intersection of machine learning and neuroscience, and we're working to democratize science education online. Ask Us Anything about computational neuroscience or science education!
https://github.com/NeuromatchAcademy/course-content https://github.com/NeuromatchAcademy/course-content-dl
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We are Konrad Kording, Megan Peters, Brad Wyble, Dan Goodman, Gunnar Blohm, and Sean Escola, and we're a group of scientists who started a major, international online summer school aiming to democratize science education and make it accessible to all. Ask Us Anything!
If you'd like to learn more about it, you can check out last year's Comp Neuro course contents here, last year's Deep Learning course contents here, read the paper we wrote about the original NMA here, read our Nature editorial, or the Lancet article00074-0/fulltext) about us.
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Help with computational modelling
Check out Neuromatch Academy. If you don't have time or inclination to do the summer school this summer, you can simply access all the videos and tutorials for free at https://compneuro.neuromatch.io
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Best sources for someone interested in pursuing computational neuroscience?
https://compneuro.neuromatch.io has all the materials for free, including lecture videos and hands on Google Colab notebook programming exercises. You can also apply to take the course synchronously with a "pod" of 10 other people in a 3-week summer intensive online, with a TA to guide you and group projects to cement your understanding. To apply, check out http://academy.neuromatch.io. Applications open soon and it sounds like you'd be a great fit.
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Some questions on studying computational neuroscience
Yes, Neuromatch Academy. Their whole course is available as a Jupyter Book here
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What psychology papers to read as a computer science researcher looking to break into cognitive science research?
Maybe better than any single book or paper, I would recommend you check out neuromatch academy. There are 2 courses, computational neuroscience and deep learning and everything is free and open source. Play with the code, listen to the lectures, even do a "canned project" if you want experience.
computer-science
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My experience on the Public Speaking Challenge
Last year I discovered the DEV Community and since then this has been my favorite place to learn, share my learning journey, participate in challenges, and meet new people. I love to spend time in #discussion, debating about something, on "Welcome Thread" and moderating some novices and beginners posts too. On April 1st, @bekahhw from Virtual Coffee made a post inviting anyone in the community to join a challenge of Public Speaking. The main idea was to choose a topic, develop a well-structured and engaging talk, and present it at the end of the month, all the process was guided by the community with tips and tasks for each week. I loved the idea and was so excited about it. For the first week, I've chosen my topic, I'd like to talk a bit about Linux and open-source projects. Things like studying OS, testing a new distro on my desktop, and completely diving into the OSSU (Open Source Society University) influenced my choices directly. Then, I had to face one of my biggest difficulties, writing an outline with an introduction, development, and conclusion. For this presentation, each participant had 5-10 minutes to a lighting talk and I was afraid of writing something so superficial without connection or with big jumps between subtopics. As a non-native English speaker, I made an immersive month to get even more used to the language, listen to more music, watching even more videos (especially with my boyfriend whose have helped me so much with this and our long talks about OS and Kernels). In the last week, the focus was on delivering and I did my best to don't get nervous and just try to face this as a normal talk. I have to admit that I loved to spend time creating a slide presentation like I did a lot in my Physics Bachelor for countless experiments and projects. I have searched a lot about the Virtual Coffee community and I loved the main idea of mutual support and the meeting styles. Also, I'm on the waiting list and I hope to be in the Lightning Talks in the next year and join more and more challengers. As how I promised, here's my presentation video:
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Show HN: I made a cheaper alternative to college-level math and physics tutoring
There is a Discord server for the OSSU computer science cirriculum that is pretty active. https://github.com/ossu/computer-science
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Final project took me longer than expected, but I got there in the end.
For a well-rounded CS knowledge you might want to look into OSSU, which is designed to meet the requirements for univerisity CS courses.
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Learning coding
There’s also a compiled CS curriculum here: https://github.com/ossu/computer-science.
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Is codecademy worth it and where else can I learn
OP I hate to double comment and be "that guy who learned to code without going to college who MUST he did it the correct way" cause fuck "that guy". He's annoying, and he never shuts up, and I try really hard not to be that guy.... But I wanna provide some extra reasons I feel you should stay away from Code Academy. And as I said before, not because they're bad courses, so let me be that guy just for a brief moment. In addition to random Youtubers straight up having high quality courses that are much more update date, they often have supplemental tutorials on niche things that aren't covered in a "101 course". But even then, maybe the idea of a certificate on your resume appeals to you... Well, turns out there's more "academic" courses online you can do to get more of those things that self-taught dumbasses like me aren't as strong with because we skipped the "academic" part of learning..... If that's what makes Code Academy appealing (which I don't think they even go over much.... but still)... then here's 2 things I'd look at before pulling out your wallet. Here's Harvards entire introduction to Computer Science courses provided for anyone to take for free (you can pay for a certificate, but its straight up $0.00 to take the classes) Heres a github repo for an Open Source University that a ton of devs have curated to give a simulated full degree program If you want to focus hardcore on being a Web Developer and are frustrated by there not being tutorials that show you exactly how to handle every step from "there's no website on my computer" to "holy shit I made a website", then here you go The Odin Project is an Open Source answer to your cries of frustration. It has curriculum paths that do exactly that. The goal is to go from zero programming knowledge to fully employable as a web developer (by skill level at least, obviously you'll need to build stuff and build a resume)
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CMV: People should not be referred to as "Engineers" unless they have a degree in the appropriate field
That said, I'm a software developer and I don't see any point in the distinction of calling someone a software or computer engineer based on education (with the exception of electronics engineers that work on hardware, but here I'm talking about software). A BSc or BEng in computer science or software development can give you a headstart but nothing that can't be self taught and in hiring I've been shocked by many postgrad engineers that couldn't answer simple questions and were outdone by self taught engineers. Make no mistake though - education is required (e.g. you're not going to learn data structures and algorithms through osmosis), but it doesn't have to be formalised as a degree.
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After finishing cs50 python, what’s next? What did everybody do? I see there’s an ai course in python.. but not sure if im ready for that yet..
My plan is to follow the training program that the OSSU (Open Source Society University) provides in order to really delve into the topic and learn more. Check out this link for more info: https://github.com/ossu/computer-science
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NÃO QUERO FICAR PARA TRÁS!
se vc quer literalmente ficar a frente do seu curso, ent é só usar o ossu/computer-science.
- What is the best low level programming language to learn for someone who knows only python?
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I want to be a software engineer?
If someone's completed CS50X and W any recommendation where to carry on https://github.com/ossu/computer-science I'm thinking from core maths onwards seems reasonable.
What are some alternatives?
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open-source-cs - Video discussing this curriculum:
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