What is a good source/course to learn more about TCP/IP, ethernet, IP address, and all that? Computer Science |
- What is a good source/course to learn more about TCP/IP, ethernet, IP address, and all that?
- Scaling Consensus Algorithms
- [ask] Which algorithm I should use in a Facility Layout Problem for machine allocation optimization? Genetic Approach or Simulated Annealing or Graph-Theoretic Approach?
- Initial user requirement sketch
- Data Science Webinar: Recommender Systems - From Simple to Complex - November 15
- Can one calculate what kind of super computer one needs?
- What would you consider to be the hardest CS class in a bachelors program?
- B.Sc. Computer Science Major Inquiries
- [Academic] The Future is AI - But is AI the Future we Deserve - Are We Safe When AI Encroaches Deeper into Our Lives? (All)
- Am I ready to start learning Image Processing? and if I am, what are the best beginner-friendly Image Proc courses/books out there?
- Need to get into Machine Learning. Where to start?
| What is a good source/course to learn more about TCP/IP, ethernet, IP address, and all that? Posted: 05 Nov 2018 08:13 PM PST I want to become comfortable with switches, virtual LAN, and all that. Please recommend a good source. Thanks [link] [comments]  |
| Posted: 05 Nov 2018 04:08 PM PST I'm doing a research project on the Raft consensus algorithm and there is one aspect that I've been having lots of trouble finding information on. What are some approaches for scaling consensus algorithms? While I'm working with Raft this is also a sort of general question regarding distributed systems. The only approach that I've heard of is sharding but I haven't seen any specifics as to what really this is or how I would be implemented. [link] [comments]  |
| Posted: 06 Nov 2018 04:41 AM PST Hi! I am an architect who is interested in coding. I read an article which reviews all the methods until the 2000s for space allocation problems. But couldn't be sure in a point. I want to use it in a present factory shop floor to relocate pieces of machinery. But in the article, it says the graph-theoretic approach is not that helpful in existing conditions re-evaluation or by the fixed-costs whereas Simulated Annealing is a better option. I couldn't understand it why? Does any of you have experience with this kind of a problem? [link] [comments]  |
| Initial user requirement sketch Posted: 06 Nov 2018 04:39 AM PST I was working on a project charter as part of my software project management course and we are required to build an initial user requirement sketch but i cant seem to find any information on it. If anyone can help describe it or point me to a resource, it would be greatly appreciated. [link] [comments]  |
| Data Science Webinar: Recommender Systems - From Simple to Complex - November 15 Posted: 06 Nov 2018 02:04 AM PST Recommender Systems are a collection of algorithms that can be used to personalize content and offers for customers. Often considered one of the most successful and widespread application of machine learning technologies in business, they have been employed by major companies like Netflix, Amazon or Google to create new revenue streams and provide tailored experiences. Fortunately, their benefits are not limited to major tech companies with deep pockets. With a minimal technical background, almost anyone can implement a simple recommender system. The objective of this webinar, hosted by Bigstep's Data Scientist, Andras Palfi, is to demystify the algorithms and methods used by recommender systems and provide a few practical use cases. No previous technical background is necessary, but familiarity with high-school level programming and mathematics will be helpful. For more details, you can check out this article, for fast registering, see here. [link] [comments]  |
| Can one calculate what kind of super computer one needs? Posted: 06 Nov 2018 01:43 AM PST Can one calculate what kind of super computer one needs? Given a type of algorithm with some sizes of input? How is such calculation carried out? Does one look for computational complexity, MIPS, something else? Perhaps one needs to also link these together as computational complexity may draw approximations/bounds, whereas MIPS is a more exact unit, although not necessarily easily mapped to algorithms (due to separation of abstractions in analysis)? Quite likely such calculation is not very exact? Perhaps one looks for MIPS, then computational complexity for an upper bound of "computation ends before this f(n) number of steps"? Then figures whether MIPS and "step" are in same units and then uses the time unit of the computing hardware to draw an estimate for how long finishing such computation should take? [link] [comments]  |
| What would you consider to be the hardest CS class in a bachelors program? Posted: 06 Nov 2018 12:47 AM PST I get the impression that an advanced algorithms class would be the hardest since its a lot of intellectual and mathematical reasoning rather than just following a process. Im basing this on the fact that I cant answer leet code questions for shit tho. I heard people saying its compilers, OS, systems programming, etc. [link] [comments]  |
| B.Sc. Computer Science Major Inquiries Posted: 05 Nov 2018 04:42 AM PST Hi all, I have my doors open to a double major or doing a minor in the future and I am thinking of doing computer science for that. My university starts in 5 months and i'll be doing my major in b.a. economics. After the first two semesters i can apply for a double major. This may sound odd, but i am not in a US university so thats probably why. Since i have a whole 5 months of free time, is there anything I can and should do to use this time to be better prepared for computer science? I'm already doing further readings on economic material in preparation but i definitely have more time to squeeze some compsci related academics. Perhaps I should review/extend a specific mathematic area in the 5 months? Or perhaps dip my toes into programming? (I have zero highschool background in compsci) Next, are there anything that someone wanting to get into compsci for the first time should know? Any tips or suggestions would be nice ^^ Or if there are any other suggestions for my 5 months of free time? haha, i dislike being unproductive and if i do nothing academic for 5 months i'll feel like a lazy bum :/ Thanks for your time~ [link] [comments]  |
| Posted: 05 Nov 2018 03:11 PM PST Access the following link to learn more. The link provided will direct you to an academic survey where you will be asked to provide your opinion about this topic. Here is the link: https://goo.gl/forms/5LcelVPFBE7vNiC42 [link] [comments]  |
| Posted: 05 Nov 2018 01:49 PM PST I am going through my first semester of my 2nd year of software engineering. I am halfway done with my OOP course (and I am a bit ahead of it). We took some decent linear algebra so far (I even implemented Gauss Elim and LUP in C++) and basic 1st order and higher order ODEs. If I am ready then I'd really appreciate any online course/books you guys can recommend me. Edit: I am exclusively interested in C++ right now so books with C++ examples or just pseudo-code would be the most preferable. [link] [comments]  |
| Need to get into Machine Learning. Where to start? Posted: 05 Nov 2018 08:50 AM PST Title sums up the question. Need to get moving on conceptual knowledge about ML and then move toward application, if that makes sense. [link] [comments]  |
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