CompSci Weekend SuperThread (September 04, 2020) Computer Science |
- CompSci Weekend SuperThread (September 04, 2020)
- Top Machine Learning Algorithms for Predictions
- Cheatsheet based on Skicit Learning
- is it worth studying data science at undergraduate level?
- 5 Most Popular algorithms in computer science and machine learning
- Supervised vs Unsupervised Machine Learning
- [R] IIIT Hyperbad’s ‘Wave2Lip’ Boosts Lip-Sync Video Performance
- Software defiined networking and its concepts
- E-learning Acronyms
- Must Know Big Data Terms
- [video] [SAT] video about converting arithmetic to boolean expressions and solving with BDDs
CompSci Weekend SuperThread (September 04, 2020) Posted: 03 Sep 2020 06:04 PM PDT /r/compsci strives to be the best online community for computer scientists. We moderate posts to keep things on topic. This Weekend SuperThread provides a discussion area for posts that might be off-topic normally. Anything Goes: post your questions, ideas, requests for help, musings, or whatever comes to mind as comments in this thread. Pointers
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Top Machine Learning Algorithms for Predictions Posted: 03 Sep 2020 05:27 AM PDT |
Cheatsheet based on Skicit Learning Posted: 04 Sep 2020 12:21 AM PDT |
is it worth studying data science at undergraduate level? Posted: 04 Sep 2020 02:36 AM PDT As a computer science student from Europe, I am somewhat conflicted as to whether I should pursue a general computer science Bachelor degree or branch out into data science. The end result in both cases is a BSc in computer science with a slight difference in the footnote lol, but depending on which one I choose, I will be given access to relevant higher-semester courses that are included in that degree which will further open the door for varied master's degree opportunities. if I choose the former I am likely to do what seem to be more rigorous courses (in parallel computing and algorithms) whereas the latter will provide me with more data-related courses (Information management and systems engineering and many more courses on data analysis). I know it's hard to make any suggestions without having an insight into the quality or mode of teaching in any of these courses, but the reason I am so conflicted is because it seems to me that many successful data scientists don't actually come from CompSci backgrounds, they usually have a very math-heavy background instead (physics, chemistry, biology, sociology even, etc.); much like many famous artists don't come from art academies and musicians don't come from conservatories. Also, I feel like a general compsci degree will take me one step closer to scientific research, which I am not very keen on, I'd rather go into the professional world as soon as possible. choices choices ... btw I'm currently employed as a part-time data scientist at one of the larger casino chains in Europe. Any advice would be appreciated, thanks [link] [comments] |
5 Most Popular algorithms in computer science and machine learning Posted: 04 Sep 2020 02:18 AM PDT |
Supervised vs Unsupervised Machine Learning Posted: 04 Sep 2020 12:30 AM PDT |
[R] IIIT Hyperbad’s ‘Wave2Lip’ Boosts Lip-Sync Video Performance Posted: 03 Sep 2020 01:49 PM PDT Recently, a team of researchers from the International Institute of Information Technology (IIIT) in Hyderabad, India and the UK's University of Bath dropped "Wav2Lip," a novel lip-synchronization model that outperforms current approaches by a large margin in both quantitative metrics and human evaluations. Here is a quick read: IIIT Hyperbad's 'Wave2Lip' Boosts Lip-Sync Video Performance The paper A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild is available on arXiv, and additional interactive demos can be found at the lipsync website. [link] [comments] |
Software defiined networking and its concepts Posted: 03 Sep 2020 05:13 AM PDT |
Posted: 03 Sep 2020 05:43 AM PDT |
Posted: 03 Sep 2020 04:52 AM PDT |
[video] [SAT] video about converting arithmetic to boolean expressions and solving with BDDs Posted: 02 Sep 2020 10:27 AM PDT |
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