Search Results

Search found 6697 results on 268 pages for 'learning'.

Page 8/268 | < Previous Page | 4 5 6 7 8 9 10 11 12 13 14 15  | Next Page >

  • Learning resources for Linux filesystem, command line, and structure

    - by webworm
    Can anyone suggest some good materials for learning more about the Linux filesystem and command line? I have found myself frequently confused as to what programs go where on the Linux filesystem. I would like to learn how the various directories (var, etc, usr ...) are used and how to use the commandline more effectively. I come from the Windows development world (.NET developer) so I am very familiar with Windows system administration. However, when doing more and more work with PHP I found myself lost in the internals of Linux (specifically Ubuntu). For example I was having problems installing PEAR properly on my Ubuntu system and not understanding why it was installed where it was. All of my interactions with Linux machines is done via SSH so I would like to focus on the command line and the filesystem. Thanks for any suggestions.

    Read the article

  • Choice of programming language for learning data structures and algorithms

    - by bguiz
    Which programming language would you recommend to learn about data structures and algorithms in? Considering the follwing: Personal experience Language features (pointers, OO, etc) Suitability for learning DS & A concepts I ask because there are some books out there that are programming language-agnostic (written from a Mathematical perspective, and use pseudocode). If I learn from one of these I would like to work out the algorithms in a chosen language. Then, there are other books which introduce DS & A concepts with examples in a particular programming laguage - and I would follow these examples as well. Either way, I have to choose a language, and I would like to stick to one throughout. Which one best fits the bill.

    Read the article

  • How to engineer features for machine learning

    - by Ivo Danihelka
    Do you have some advices or reading how to engineer features for a machine learning task? Good input features are important even for a neural network. The chosen features will affect the needed number of hidden neurons and the needed number of training examples. The following is an example problem, but I'm interested in feature engineering in general. A motivation example: What would be a good input when looking at a puzzle (e.g., 15-puzzle or Sokoban)? Would it be possible to recognize which of two states is closer to the goal?

    Read the article

  • Good learning resources for JNDI implementation (JBoss 5)

    - by iandisme
    I have been working with JavaEE/EJB3 web apps for about half a year now. Until recently, I haven't had to touch a lot of the behind-the-scenes stuff, just the meat of the code. I have been wrestling with JNDI problems, and though I've solved a couple of them, I'm pretty much just doing the whole cargo cult copy-paste routine. It would really help me to better understand JNDI; my understanding of it right now can be summarized as "it's that thing these classes sometimes do to find other classes." My question is, has anyone had success learning JNDI/EJB3/related topics from a book or online content? I've googled for it but the stuff that comes up is old or specific to a certain framework I'm not using. I'm looking for something that's either JBoss-specific or generic enough to be useful anyway.

    Read the article

  • Learning a new language coding 1 program

    - by Steve
    This is not really a programming question Question : Sometimes you have to learn a new language consider this situation for example : you have been programming in C# for some years and then one day you need to code in java. Now being a programmer you already know the programming concepts its just the syntax you need to get used to. Can you think some program to code which covers every(or most) aspect of a programming language? like say you make a desktop search program...it can cover file reading writing, threads maybe interacting with db like sqllite so you get familiar with those topics and the syntax of the new language Just want to know your thoughts about what is the fastest way to go about learning a new language skipping all the basic stuff

    Read the article

  • Mathematics for AI/Machine learning ?

    - by Ankur Gupta
    I intend to build a simple recommendation systems for fun. I read a little on the net and figured being good at math would enable on to build a good recommendation system. My math skills are not good. I am willing to put considerable efforts and time in learning maths. Can you please tell me what mathematics topics should I cover? Also if any of you folks can point me to some online material to learn from it would be great. I am aware of MIT OCW, book like collective intelligence. Math Topics to cover and from where to read would really help.

    Read the article

  • Learning Python coming from PHP

    - by Coronatus
    Community wiki so don't vote to close, kthxbai. My dynamic language experience is solely PHP. I want to learn Python now to broaden my career opportunities and just because I like programming. :) When learning Java, I used a site (lost the URL/real name now), something like "Java for PHP developers" that had all on one side of the page the PHP code, and on the other side the Java code to do the same thing. Is there a website like that for Python? Any other recommendations/advice? Thanks Edit: I have no votes left today, but I'll up-vote good answers tomorrow :)

    Read the article

  • Learning to think in the Object Oriented Way

    - by SpikETidE
    Hi Everyone.... I am a programmer trying to learn to code in the object oriented paradigm... I mainly work with PHP and i thought of learning the zend framework... So, felt I need to learn to code in OO PHP.... The problem is, having done code using functions for quite a long time, i just can't get my head to think in the OO way.... Also felt that probably I am not the only one facing this problem since the beginning of time... So, how did you people learn object oriented programming... especially how did you succeed in "unlearning" to code using functions... and learn to see you code as objects...? Is there any good resource books or sites where one could find help...?? Thanks for sharing your knowledge and experiences...

    Read the article

  • Getting started with learning the Rails source

    - by japancheese
    Hello, I've been using Ruby on Rails for many projects lately, and I thought it would be interesting to take a look at the Rails source and really see how things operate underneath. I think it'd be a great learning experience and would probably enhance the way I code Rails apps all the more. Does anyone have any tips on how to get started? And where within the Rails source does an application begin to be executed? Perhaps if I started there, I could see how everything is loaded and works in general.

    Read the article

  • What's a good book for learning BCPL?

    - by paxdiablo
    A long time ago, I worked on some BCPL code (very similar to C although even more basic, difficult though that is to imagine). Now, as part of a compiler course, we're going to be setting assignments for building some of the parts of the compiler (lexical and semantic analysis) and I'd like to know what the community thinks is the best book for learning about the language (and concrete why you think it's the best). Not how to write compilers for it, just on how to program in it. It'll be up to the students themselves to figure out how best to develop a compiler. We're using BCPL since the chance of people being able to plagiarise code for a compiler is very slim. Any suggestions?

    Read the article

  • Microsoft learning support for VS2010

    - by John
    OK, I am a big fan of WPF, and while it is large area to fully understand, Microsoft has been great in posting loads of training video at http://windowsclient.net/learn/videos_wpf.aspx However with the release of 2010 it all seams to have gone very quiet. I expected a lot of the support to be updated for 2010 and I also expected a lot of new videos on the best way to use the new features in 2010. Currently I find myself working through videos based on 2008 (or even 2005) and trying to apply them to 2010. Don't get me wrong it not that I mind doing this, it just that I fear I may be learning methods which have better or different solutions in 2010. It is just me expecting too much of Microsoft, or have I missed out on a new website?

    Read the article

  • Expression Studio - v2 good enough for learning?

    - by aSkywalker
    I have VS 2008, and looking forward to moving fairly quickly to VS2010. Our applications (we only have a few) are all winforms apps - mostly VB. I want to start to learn WPF. My version of Expression Studio is version 2. I have heard that the improvements made from version 2 to version 3 are significant. If it follows the paradigm of version 3 being the adult app (past the infancy of version 1 and the awkwardness of version 2), then I suppose it would be worth the investment to get it before starting to learn. But, unless my company was willing to pay, I am hoping to keep costs low. Can anyone share some experience - is version 2 good enough to learn on, or should I bite the bullet and smooth my learning experience by going with version 3? Thanks!

    Read the article

  • Am I "wasting" my time learning C and other low level stuff ?

    - by Andreas Grech
    I have just recently started learning C and the reason I did that was because frankly, I consider myself to be of a "less-developer" than the people who know and work with C. Thus I planned to start learning ASM, C, C++ and bought the K&R book and started pushing myself to learn the C Programming Language and up till now I'm doing great...learning about arrays the low level way (ie the pointer + offset thing), pointers and all that and obviously asking questions on stackoverflow for guidance. My problem is that sometimes I get thinking if instead of learning this low level stuff, maybe I should maybe spend more time learning newer, more widely used technologies...basically, more web stuff. Now I am well versed with both C# and ASP.Net and currently that's what I do for a living, but still there exists Microsoft technologies that I haven't quite touched upon...such as ASP.Net MVC, The Entity Framework etc... And those are only Microsoft Technologies...obviously there are other stuff that I would like to touch upon...stuff like Ruby, which would lead me to Ruby on Rails, or Python for Django or even Java and J2EE, or maybe even PHP; ie, basically mainly Web Stuff. Mind you, I did touch upon some of the stuff I mentioned earlier on, such as PHP and Java but I am still not quite versed in them as I am in C# and ASP.Net...but still, I think that by learning other languages that are used in the web environment will broaden my horizons...both as a developer who loves learning, and also Career wise. My point is, am I really using up my time correctly by learning older, lower level stuff? Stuff that for my current line of work, will most probably never use, but still is interesting to know ? To be frankly honest, I am also learning C so that I could, maybe someday, get into Electronics and Micro-controller programming but that is a whole new world for me and, if I choose to go there, will take some time to get adjusted to. And even then, I don't know if I can get a career in working in that line of work. ...but I still wonder about this question over and over...Am I doing the right thing by learning C instead of something (Web-stuff) that will most probably be more useful for me career-wise? I'm sorry for such asking such a long and most probably a boring question, but I feel as if this is the only place where I can ask such a question and get an honest answer from experts in the field. Thank you for your time.

    Read the article

  • Schliemann's method of programming language learning

    - by DVK
    Background: 19th-century German archeologist Heinrich Schliemann was of course famous for his successful quest to find and excavate the city of Troy (an actual archeological site for the Troy of Homer's Iliad). However, he is just as famous for being an astonishing learner of languages - within the space of two years, he taught himself fluent Dutch, English, French, Spanish, Italian and Portuguese, and later went on to learn seven more, including both modern and ancient Greek. One of the methods he famously used was comparison of a known text, e.g. take a book in a language one is fluent in, take a good translation of a book in a language you wish to learn, and go over them in parallel. (various sources cited the book used by Schliemann to be the Bible, or, as the link above states, a novel). Now, for the actual question. Has anyone used (or heard of) an equivalent of Schliemann's method for learning a new programming language? E.g. instead of basing the leaning on references and tutorials, take a somewhat comprehensive set of programs known to have high-quality code in both languages implementing similar/identical algorithms and learn by comparing them? I'm curious about either personal experiences of applying such an approach, or references to something published, or existance of codebases which could be used for such an approach? What got me thinking about the idea was Project Euler and some code snippets I saw on SO, in C++, Perl and Lisp.

    Read the article

  • Adapting Machine Learning Algorithms to my Problem

    - by Berkay
    i'm working on a project and need your ideas, advices. First of all, let me tell my problem. There is power button and some other keys of a machine and there is only one user has authentication to use this machine.There are no other authentication methods, the machine is in public area in a company. the machine is working with the combination of pressing power button and some other keys. The order of pressing keys is secret but we don't trust it, anybody can learn the password and can access the machine. i have the capability of managing the key hold time and also some other metrics to measure the time differences between the key such as horizantal or vertical key press times (differences). and also i can measure the hold time etc. These all means i have some inputs, Now i'm trying to get a user profile by analysing these inputs. My idea is to get the authenticated user to press the password n times and create a threshold or something similar to that. This method also can be said BIOMETRICS, anyone else who knows the machine button combination, can try the password but if he is out of this range can not get access it. How can i adapt these into my algorithms? where should i start ? i don't want to delve deep into machine learning, and also i can see the in my first try i can get false positive and false negative values really high, but i can manage it by changing my inputs. thanks.

    Read the article

  • Machine Learning Algorithm for Predicting Order of Events?

    - by user213060
    Simple machine learning question. Probably numerous ways to solve this: There is an infinite stream of 4 possible events: 'event_1', 'event_2', 'event_4', 'event_4' The events do not come in in completely random order. We will assume that there are some complex patterns to the order that most events come in, and the rest of the events are just random. We do not know the patterns ahead of time though. After each event is received, I want to predict what the next event will be based on the order that events have come in in the past. The predictor will then be told what the next event actually was: Predictor=new_predictor() prev_event=False while True: event=get_event() if prev_event is not False: Predictor.last_event_was(prev_event) predicted_event=Predictor.predict_next_event(event) The question arises of how long of a history that the predictor should maintain, since maintaining infinite history will not be possible. I'll leave this up to you to answer. The answer can't be infinte though for practicality. So I believe that the predictions will have to be done with some kind of rolling history. Adding a new event and expiring an old event should therefore be rather efficient, and not require rebuilding the entire predictor model, for example. Specific code, instead of research papers, would add for me immense value to your responses. Python or C libraries are nice, but anything will do. Thanks! Update: And what if more than one event can happen simultaneously on each round. Does that change the solution?

    Read the article

  • Learning Objective-C: Need advice on populating NSMutableDictionary

    - by Zigrivers
    I am teaching myself Objective-C utilizing a number of resources, one of which is the Stanford iPhone Dev class available via iTunes U (past 2010 class). One of the home work assignments asked that I populate a mutable dictionary with a predefined list of keys and values (URLs). I was able to put the code together, but as I look at it, I keep thinking there is probably a much better way for me to approach what I'm trying to do: Populate a NSMutableDictionary with the predefined keys and values Enumerate through the keys of the dictionary and check each key to see if it starts with "Stanford" If it meets the criteria, log both the key and the value I would really appreciate any feedback on how I might improve on what I've put together. I'm the very definition of a beginner, but I'm really enjoying the challenge of learning Objective-C. void bookmarkDictionary () { NSMutableDictionary* bookmarks = [NSMutableDictionary dictionary]; NSString* one = @"Stanford University", *two = @"Apple", *three = @"CS193P", *four = @"Stanford on iTunes U", *five = @"Stanford Mall"; NSString* urlOne = @"http://www.stanford.edu", *urlTwo = @"http://www.apple.com", *urlThree = @"http://cs193p.stanford.edu", *urlFour = @"http://itunes.stanford.edu", *urlFive = @"http://stanfordshop.com"; NSURL* oneURL = [NSURL URLWithString:urlOne]; NSURL* twoURL = [NSURL URLWithString:urlTwo]; NSURL* threeURL = [NSURL URLWithString:urlThree]; NSURL* fourURL = [NSURL URLWithString:urlFour]; NSURL* fiveURL = [NSURL URLWithString:urlFive]; [bookmarks setObject:oneURL forKey:one]; [bookmarks setObject:twoURL forKey:two]; [bookmarks setObject:threeURL forKey:three]; [bookmarks setObject:fourURL forKey:four]; [bookmarks setObject:fiveURL forKey:five]; NSString* akey; NSString* testString = @"Stanford"; for (akey in bookmarks) { if ([akey hasPrefix:testString]) { NSLog(@"Key: %@ URL: %@", akey, [bookmarks objectForKey:akey]); } } } Thanks for your help!

    Read the article

  • Advice on improving programming skills, learning capabilities?

    - by anonymous-coward1234
    Hi all, After 2,5 years of professional Java programing, I still have problems that make my job difficult and, more importantly - more times that I would like to admit - not enjoyable. I would like to ask for advice by more experienced people on ways that would help me overcome them. These are the problems I have: I do not absorb new knowledge easily. Even when I understand something, after a couple of days I easily forget even basic stuff. Other co-workers, even with the same working experience, when reading new technologies put things easily into "context", and are able to compare in "real time| similar technologies they already have used. I always try to address all the issues to whatever I am doing at one go, which results in me trying to resolve too many problems at the same time, losing completely control. I find it difficult to make my mind on a single problem that I should address first, and even when I do, and find myself throwing away code that I wrote because I started addressing the wrong issue first. As far as architecture and data modeling is concerned, I have difficulty making decisions on what objects must be created, with what hierarchy, interfaces, abstraction etc. I imagine that - to a certain degree - these things come with experience. But after 2,5 years of Java programming, I would expect myself to have come much farther that I have come, both in terms of absorption and experience. Is there a way to improve my learning speed? Any books, methods, advice is welcome.

    Read the article

  • Spaced repetition (SRS) for learning

    - by Fredrik Johansson
    A client has asked me to add a simple spaced repeition algorithm (SRS) for an onlinebased learning site. But before throwing my self into it, I'd like to discuss it with the community. Basically the site asks the user a bunch of questions (by automatically selecting say 10 out of 100 total questions from a database), and the user gives either a correct or incorrect answer. The users result are then stored in a database, for instance: userid questionid correctlyanswered dateanswered 1 123 0 (no) 2010-01-01 10:00 1 124 1 (yes) 2010-01-01 11:00 1 125 1 (yes) 2010-01-01 12:00 Now, to maximize a users ability to learn all answers, I should be able to apply an SRS algorithm so that a user, next time he takes the quiz, receives questions incorrectly answered more often; than questions answered correctly. Also, questions that are previously answered incorrectly, but recently often answered correctly should occur less often. Have anyone implemented something like this before? Any tips or suggestions? Theese are the best links I've found: http://en.wikipedia.org/wiki/Spaced_repetition http://www.mnemosyne-proj.org/principles.php http://www.supermemo.com/english/ol/sm2.htm

    Read the article

  • When to choose which machine learning classifier?

    - by LM
    Suppose I'm working on some classification problem. (Fraud detection and comment spam are two problems I'm working on right now, but I'm curious about any classification task in general.) How do I know which classifier I should use? (Decision tree, SVM, Bayesian, logistic regression, etc.) In which cases is one of them the "natural" first choice, and what are the principles for choosing that one? Examples of the type of answers I'm looking for (from Manning et al.'s "Introduction to Information Retrieval book": http://nlp.stanford.edu/IR-book/html/htmledition/choosing-what-kind-of-classifier-to-use-1.html): a. If your data is labeled, but you only have a limited amount, you should use a classifier with high bias (for example, Naive Bayes). [I'm guessing this is because a higher-bias classifier will have lower variance, which is good because of the small amount of data.] b. If you have a ton of data, then the classifier doesn't really matter so much, so you should probably just choose a classifier with good scalability. What are other guidelines? Even answers like "if you'll have to explain your model to some upper management person, then maybe you should use a decision tree, since the decision rules are fairly transparent" are good. I care less about implementation/library issues, though. Also, for a somewhat separate question, besides standard Bayesian classifiers, are there 'standard state-of-the-art' methods for comment spam detection (as opposed to email spam)? [Not sure if stackoverflow is the best place to ask this question, since it's more machine learning than actual programming -- if not, any suggestions for where else?]

    Read the article

  • Would anybody recommend learning J/K/APL?

    - by ozan
    I came across J/K/APL a few months ago while working my way through some project euler problems, and was intrigued, to say the least. For every elegant-looking 20 line python solution I produced, there'd be a gobsmacking 20 character J solution that ran in a tenth of the time. I've been keen to learn some basic J, and have made a few attempts at picking up the vocabulary, but have found the learning curve to be quite steep. To those who are familiar with these languages, would you recommend investing some time to learn one (I'm thinking J in particular)? I would do so more for the purpose of satisfying my curiosity than for career advancement or some such thing. Some personal circumstances to consider, if you care to: I love mathematics, and use it daily in my work (as a mathematician for a startup) but to be honest I don't really feel limited by the tools that I use (like python + NumPy) so I can't use that excuse. I have no particular desire to work in the finance industry, which seems to be the main port of call for K users at least. Plus I should really learn C# as a next language as it's the primary language where I work. So practically speaking, J almost definitely shouldn't be the next language I learn. I'm reasonably familiar with MATLAB so using an array-based programming language wouldn't constitute a tremendous paradigm shift. Any advice from those familiar with these languages would be much appreciated.

    Read the article

  • Learning libraries without books or tutorials

    - by Kawili-wili
    While many ask questions about where to find good books or tutorials, I'd like to take the opposite tack. I consider myself to be an entry-level programmer ready to move up to mid-level. I have written code in c, c++, c#, perl, python, clojure, vb, and java, so I'm not completely clueless. Where I see a problem in moving to the next level is learning to make better use of the literally hundreds upon hundreds of libraries available out there. I seem paralyzed unless there is a specific example in a book or tutorial to hand-hold me, yet I often read in various forums where another programmer attempts to assist with a question. He/she will look through the docs or scan the available classes/methods in their favorite IDE and seem to grok what's going on in a relatively short period of time, even if they had no previous experience with that specific library or function. I yearn to break the umbilical chord of constantly spending hour upon hour searching and reading, searching and reading, searching and reading. Many times there is no book or tutorial, or if there is, the discussion glosses over my specific needs or the examples shown are too far off the path for the usage I had in mind or the information is outdated and makes use of deprecated components or the library itself has fallen out of mainstream, yet is still perfectly usable (but no docs, books, or tutorials to hand-hold). My question is: In the absence of books or tutorials, what is the best way to grok new or unfamiliar libraries? I yearn to slicken the grok path so I can get down to the business of doing what I love most -- coding.

    Read the article

  • WPF or Silverlight Learning Resources for Business Applications

    - by Refracted Paladin
    I am the only developer at a non-profit organization(~200 employees) where we are a M$ shop and 90% of the things I develop are specific to our company and are internal only. I am given a lot of latitude on how I accomplish my goals so using new technologies is in my best interest. So far I have developed all winform & asp.net applications. I would now like to focus on XAML driven development(WPF & Silverlight) and would like your help. I am subscribed to numerous Silverlight blogs and I have went through a few good tutorials however, I would really appreciate a GOOD SOLID book in my hands going forward. I prefer learning books versus reference books and I REALLY would like one from a Business standpoint as well. Shameless, self-promoting is welcomed if you happen to be an author or reviewer for one that meets my criteria. I would, however, prefer that recomendations were based on first-hand experience(no, 'my friend as this awesome book he told me about', please). Though, I don't mind un-released books if say they are an updated version of an existing. disclaimer -- I know there are an insane amount of Book posts here(SO) but none I believe for my specific need. If there is and I missed it I apologize.

    Read the article

  • Is CUDA, cuBLAS or cuBLAS-XT the right place to start with for machine learning?

    - by Stefan R. Falk
    I am not sure if this is the right forum to post this question - but it surely is no question for stackoverflow. I work on my bachelor thesis and therefore I am implementing a so called Echo-State Network which basically is an artificial neural network that has a large reservoir of randomly initialized neurons and just a few input and output neurons .. but I think we can skip that. The thing is, there is a Python library called Theano which I am using for this implementation. It encapsulates the CUDA API and offers a quiet "comfortable" way to access the power of a NVIDIA graphics card. Since CUDA 6.0 there is a sub-library called cuBLAS (Basic Linear Algebra Subroutines) for LinAlg operations and also a cuBLAS-XT an extention which allows to run calculations on multiple graphics cards. My question at this point is if it would make sense to start using cuBLAS and/or cuBLAS-XT right now since the API is quite complex or rather wait for libraries that will build up on those library (such as Theano does on basic CUDA)? If you think this is the wrong place for this question please tell me which one is, thank you.

    Read the article

  • Why learning new things is not important on a job hunt? [closed]

    - by IAdapter
    I have just finished my job hunt. I think it was about 40 job interviews, I like to travel and get to know many companies. One thing I did not like is that they don't care about new technologies. I think only 2 persons asked me about new stuff in Java world. Most of them care if I know Java (certification and many years of experiance is not enough for them, they need to test me) For example in IBM they only cared what IBM products do I know. Have I ever used any custom extensions of WebSphere? I don't understand those questions. If I learn new frameworks every day then I can learn whatever technology they have very fast. So why it matters if I have ever used those "great" custom extensions of WebSphere? After those 40 interviews I have no reason to learn any new framework, because I see that they don't care. Why those "developers" don't ask questions about new technologies? are they so long at those comapnies that they don't care about new stuff?

    Read the article

< Previous Page | 4 5 6 7 8 9 10 11 12 13 14 15  | Next Page >