Are fields other than machine/deep learning (CV + NLP + RL) seeing an explosion of research papers? Computer Science |
- Are fields other than machine/deep learning (CV + NLP + RL) seeing an explosion of research papers?
- Is this concatenation ({a} · {b})^2 ≠ a^2 · b^2?
- Why does code get executed/outputted in the terminal?
- Is an executable file which you get when you compile source code in machine language and is it without dependencies?
- Java to C programming language translator
- Guys do check this out, network and security courses
- Importing data from Google Docs to Google Sheets
- Challenge opinion: CS Masters students should explore new topics at uni because specific project knowledge can be learned online
- Best math books for computer science?
- Best course for OOPS concepts
- Here is how Best first search - greedy algorithm searches the most optimal path
- Implementing 256 bit integer arithmetic
| Are fields other than machine/deep learning (CV + NLP + RL) seeing an explosion of research papers? Posted: 12 Oct 2020 12:26 AM PDT I'm curious as to what is the state of research in other fields of computer science such as algorithms, databases, operating systems, networks, compilers, cryptography, etc. I'd be interested to know what groundbreaking research is happening in these fields! [link] [comments]  |
| Is this concatenation ({a} · {b})^2 ≠ a^2 · b^2? Posted: 12 Oct 2020 04:08 AM PDT I'm doing a class in computational morphology and I'm still a bit confused. I presumed they were equal, such that both resulted in Is it because in the second one, we would concatenate Thanks in advance. [link] [comments]  |
| Why does code get executed/outputted in the terminal? Posted: 12 Oct 2020 03:57 AM PDT I just wondered why when one executes code, the output is shown in the terminal. Is there any particular reason for that? Does the code also get executed "in" the terminal? [link] [comments]  |
| Posted: 12 Oct 2020 03:43 AM PDT I am currently learning C and saw that when I compile my code I get an executable file. I looked online and it said that first the source code gets compiled into an object file which then gets linked into an executable file. It also said the object file contains bytecode and machinecode (and I also think assembly). During the linking I think it said dependencies specified in the object file (for example if you use some function from the math library) get loaded into the executable file. I have a few questions, first of all, is all of this correct? If yes, does that mean that an executable file is in pure machine code? Also in that case, is the executable file independent (doesn't have any dependencies, because as said they would get loaded into the executable)? I also know that each operating systems have a different file extension for such an executable file, why though? Because if the file would be in machine code, couldn't every CPU and OS understand it? Thanks [link] [comments]  |
| Java to C programming language translator Posted: 11 Oct 2020 02:36 PM PDT I'm thinking of doing this as a project. What do you think will be advantages of this? will it be useful? [link] [comments]  |
| Guys do check this out, network and security courses Posted: 12 Oct 2020 02:23 AM PDT |
| Importing data from Google Docs to Google Sheets Posted: 12 Oct 2020 01:57 AM PDT Hello everyone. I was wondering if there is a way to have a "system" (maybe software, web app, etc.) that could somehow extract some information from a Google Docs file (more specifically, the text inside some certain text boxes) and input it into some specific columns in a Google sheets file. And make the system in a way that performs this procedure on doc files of the same format (all saved in a Google Drive folder), and adds new data in a new row in the Sheets file. I have absolutely no idea if it is possible to implement such thing. And if so, where to start, what to learn, what key words to search. Any ideas similar to this would also help, so using Google products was an example. I'd be glad if someone could show me the way. Please let me know if any part is unclear to you. Thanks! [link] [comments]  |
| Posted: 11 Oct 2020 04:32 PM PDT I'm starting my MS in computer science in the Winter semester. My capstone project will be in Natural Language Processing (NLP). I have a rough idea of the project I have in mind as well. I think that it is useless taking the machine/deep learning courses in the uni because there is enough material for this online. My mindset is, therefore, to take new courses that I don't have knowledge in and explore other fields such as quantum computing or even courses related to hardware. This will maybe spark new ideas or even help me find a field that I am more passionate about than NLP. Would you agree or disagree and why? [link] [comments]  |
| Best math books for computer science? Posted: 11 Oct 2020 10:24 AM PDT And I mean ones that have stood the tests of time, what are some of your favorites? [link] [comments]  |
| Posted: 11 Oct 2020 09:23 PM PDT I'm preparing for tech interviews and while I'm grinding leetcode and reading up on system design concepts, I've read that you're asked a lot of OOPS concepts during the interview too. I wanted a course which I can do, which will cover more or less all the concepts. I primarily code in Python. [link] [comments]  |
| Here is how Best first search - greedy algorithm searches the most optimal path Posted: 11 Oct 2020 08:59 AM PDT |
| Implementing 256 bit integer arithmetic Posted: 11 Oct 2020 06:09 AM PDT |
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