Hackathon: Join us for a virtual SBUHacks! Computer Science |
- Hackathon: Join us for a virtual SBUHacks!
- Database for 3SAT/Boolean MQ instances
- SAS vs R : Which One is better for statistics Operations
- Regarding research opportunities in Computer Science.
- An easy way to understand "autowiring" in Spring
- Plataforma 5 BootCamp
- Some questions about understanding machine learning paper
- Is the minimum program size fundamentally dependent upon the encoding?
- Final Year - Finance related project
- 3SAT solution approach via 2SAT simplification
- Why functional programming is awesome
- AA Tree Data Structure (AA == Arne Andersson)
- Describing data streams
- What happens when I ping localhost? Which process is acting as the server and replying with packets?
Hackathon: Join us for a virtual SBUHacks! Posted: 24 Aug 2020 03:49 AM PDT Hey, everyone!! SBUHacks is a rapidly growing hackathon that's going virtual for the 2020 season. We're open to anyone joining, from tech enthusiasts just getting their start in programming all the way to experienced programmers looking to try something new. Registration just went out, and we're a month out from the big day. Check out our website at sbuhacks.org to sign up if you're interested, and we hope to see you there! [link] [comments] |
Database for 3SAT/Boolean MQ instances Posted: 23 Aug 2020 10:04 PM PDT Hi was wondering if anybody has a recommended goto collection for 3SAT instances (a good mix of SAT and UNSAT would be nice) or system of Boolean multivariate quadratic instances? [link] [comments] |
SAS vs R : Which One is better for statistics Operations Posted: 24 Aug 2020 01:00 AM PDT |
Regarding research opportunities in Computer Science. Posted: 23 Aug 2020 11:56 PM PDT Hello guys, I'm undergrad student in India, in a government college. I've never done any research, I'm in third year out of four year program. I came across various posts in this subreddits, which told to ask professors for research opportunity. So I contacted my professor and he wants me to give topics which I have in mind. My interests are in Computer Networks, Data Science, Robotics, Operating Systems, Computer Security, also interested in ethical hacking and algorithms. I've never done any research, and had several questions. Q1. Can I research on already researched topic? Q2. Any suggestions from your side. Q3. How to get started? Q4. Where can I see others research paper. Thanks and Regards. [link] [comments] |
An easy way to understand "autowiring" in Spring Posted: 23 Aug 2020 08:04 PM PDT |
Posted: 23 Aug 2020 05:01 PM PDT Someone know something about the Platform 5 Bootcamp and would like to share his/her experience? [link] [comments] |
Some questions about understanding machine learning paper Posted: 23 Aug 2020 03:12 PM PDT Hello All, I've been instructed to read this paper: AdaS: Adaptive Scheduling of stochastic gradients and I had some questions: Defn 1: - This is my first experience with tensor decomposition, and was confused about what 'low-rank singular values' means? - why is the tensor only in 4 dimensions? if its the weights of the conv layer then it should have as many dimensions as there are kernels/filters right? - what do they mean by 'knowledge gain across a particular channel'? Is this referring to the depth of an image? It's the particular channel (dth dim) of the tensor representing the weights of the conv so kinda confusing - especially since the tensor should only have 4 dimensions? Defn 2: - what does " low-rank singular values of a single-channel convolutional weight" mean (same q in 1) Semi-related qs: - what is a 'superblock'? How does it defer from a block? Thank you for your help! E: a few more questions [link] [comments] |
Is the minimum program size fundamentally dependent upon the encoding? Posted: 23 Aug 2020 03:12 PM PDT I'm reading Dennett's Real Patterns where he uses Chaitin's definition of randomness: "A series of numbers is random if the smallest algorithm capable of specifying it to a computer has about the same number of bits of information as the series itself." I'm wondering if this is well-defined as is or if there is ambiguity regarding the entropy of a program depending upon how we choose to encode it. My understanding is that there are infinitely many possible encoding schemes and they will give different sizes for different programs. [link] [comments] |
Final Year - Finance related project Posted: 23 Aug 2020 08:33 AM PDT Hi, I will be starting my final year next year and after doing an internship this summer in an investment bank, I would love to work on a finance related project. After graduating I would love to go on and study a masters in Machine Learning and look at working as a quant within the industry, so I was wondering if there are any projects you could suggest me to approach? I've googled but I haven't been able to find much, was hoping you could help me with suggestions or pointing me in the right direction. Thank you! [link] [comments] |
3SAT solution approach via 2SAT simplification Posted: 23 Aug 2020 05:21 PM PDT |
Why functional programming is awesome Posted: 23 Aug 2020 08:44 AM PDT |
AA Tree Data Structure (AA == Arne Andersson) Posted: 23 Aug 2020 07:52 AM PDT |
Posted: 23 Aug 2020 07:40 AM PDT I've had some thoughts about file extensions and MIME types, and how inadequate they are at telling the OS, applications or humans anything truly useful about type of data in a file or stream, and how to improve the situation. A good example might be Application/pdf - which tells you very little. It doesn't say that it's ultimately a page layout, or a human readable document, or that it's binary. A file or stream can also be viewed as different types depending on how high or low level you are considering it. For example, an SVG image is also an XML document, which is also a text stream. This could be useful information for a system, which even if it doesn't know what to do with SVG, it may still be able process it as an XML stream. There's also extra information that usually has to be determined heuristically each time a file is opened, such as the character encoding of a text file, the endian-ness of the byte order for multi-byte values, and whether the text is left-to-right or vice versa. All of this useful information could be assembled to describe a data stream in a meaningful way, which has lead me to propose some examples of how this could look. A plain text file, could be described thus: A CSV file, which has always been plagued with difficulties as there's no way of marking the many optional configurations, could be described something like this: An SVG image as in interesting case as at least two separate descriptions could apply: You could opt for a more encapsulated notation instead, which would be well demonstrated by a compressed SVG (.SVGZ is a commonly used file extension for these): Such descriptions could be examined by programs which could then decide if they're capable of consuming or handling the data even if not at every level. Would anyone be interested in exploring this idea further, with a look to perhaps defining a useful language for describing data streams? [link] [comments] |
What happens when I ping localhost? Which process is acting as the server and replying with packets? Posted: 23 Aug 2020 04:41 AM PDT When I do ping localhost on my machine, I get back as many as the packets that I transmitted. However, when I change the command to I dont get any packets back in response - I take it that this means there is no server process which is listening at port 80? Then what process is listening (and at which port) when I just enter ping localhost without any port argument? [link] [comments] |
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