Humans Call GG! OpenAI Five Bots Beat Top Pros OG in Dota 2 Computer Science |
- Humans Call GG! OpenAI Five Bots Beat Top Pros OG in Dota 2
- How can differential equations be applied to CS?
- This introductory text covers the basic features of a production-quality Quicksort implementation. [complete code included]
- I needed help in order to choose a topic for a research paper.
- MLFQ
- How do I do code logic reviews ?
- Calculus on Computational Graphs: Backpropagation (or reverse-mode differentiation).
- Lessons On Getting a Software Engineering Job
| Humans Call GG! OpenAI Five Bots Beat Top Pros OG in Dota 2 Posted: 13 Apr 2019 10:16 PM PDT |
| How can differential equations be applied to CS? Posted: 13 Apr 2019 11:19 AM PDT My final project for ordinary differential equations is to look for a real application of ODE in CS. I am very confused because I looked on Quora and even Reddit. Lots of answers seem to contradict each other. Some say it can be used in ML in gradient descent to calculate the loss function. Others say it involves derivatives but not differentiam equations. Some say that CS has no use for ODE. Others say it's essential. Some say it is only applied to physics. Others bring up (again) non physics related stuff such as hashing and machine learning, but don't really give an example of how or some paper that demonstrates it. Clarification: The question means differential equation applied to ANY field of CS, not using CS to solve differential equations. [link] [comments]  |
| Posted: 13 Apr 2019 07:21 AM PDT |
| I needed help in order to choose a topic for a research paper. Posted: 14 Apr 2019 03:28 AM PDT I recently joined a "club" in my college which consists of students who will be grouped together to work together on a research paper. We are also advised to write a systemic review paper. We were allocated a bunch of topics from which we could choose to work or choose something else to work on. Most of these are related to biology and computer vision. Personally, I am very interested in CV so it is a great opportunity for me to work on something like this so that I can improve my career prospects and get some real exposure into the field apart from some projects. However, the topics that we were given were have been done in other research papers. For instance, there is this one topic "Applications of Computer vision in Brain Tumor Segmentation" which was already covered in this paper here. Now I am not really sure what this means. I am confident about my capabilities to be able to do it myself but I feel that what I may write might become redundant since it is already covered here and my efforts may be wasted. I have been able to find research papers on all of the topics given to us. However, also can someone ELI5 what is the benefit of an index. We have been told that our paper will be published in SCOPUS journals. From what I have heard, SCOPUS is a pretty good index. What does it mean to be a good index? But does that mean that my paper will be published somewhere reputable like IEEE,arxiv, Springer? How bad is it if my paper is published somewhere less reputable? Will that less beneficial if I want to apply abroad for my MS? It will be my first time working on one so I would really appreciate any help that I can get. [link] [comments]  |
| Posted: 14 Apr 2019 12:31 AM PDT What typical algorithms are found in a MLFQ scheduler. My personal thoughts would be that they would use SJF in the first queue and then use round robbin for the best. [link] [comments]  |
| How do I do code logic reviews ? Posted: 13 Apr 2019 10:34 PM PDT Is there any platform or service which I can use to review the logic in my code? Long story short, I work fairly independently within a financial institution and I often have to write a lot of code which is important to get right but dont have access to other people to review my code. I need to check that the actual logic behind calculations, data manipulation and some statistics is correct. Is there anywhere I can upload my code for review ? [link] [comments]  |
| Calculus on Computational Graphs: Backpropagation (or reverse-mode differentiation). Posted: 13 Apr 2019 07:54 PM PDT |
| Lessons On Getting a Software Engineering Job Posted: 13 Apr 2019 02:34 PM PDT |
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