Search Results

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

Page 6/268 | < Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >

• Concurrency and Coordination Runtime (CCR) Learning Resources

  - by Harry

  I have recently been learning the in's and out's of the Concurrency and Coordination Runtime (CCR). Finding good learning resources for this relatively new technology has been quite difficult. (A quick google search brings up "Creedence Clearwater Revival" as the top result!) Some of the resources I have found: Free e-book chapter from WROX on the Robotics Developer Studio Good Article/post on InfoQ Robotic's Member blog Very active MSDN CCR Forum - Got plenty of help from here! Great MSDN Magazine by Jeffrey Richter Official CCR User Guide - Didn't find this very helpful Great blogging series on CCR iodyner CCR Related Blog - Update: Moved to here Eight or so Videos on Channel9.msdn.com CCR Patterns page on MS Robotics Studio - I haven't read this yet 4 x CCR Questions on Stackoverflow - Most of the questions have been Mine! LOL CCR and DSS toolkit has now been released to MSDN Members Do you have any good learning resources for the CCR? I really hope that Microsoft will publish more material, so far it has been too Robotics specific. I believe that MS needs to acknowledge that most people are using the CCR in issolation from the DSS and Robotics Studio. Update The Mix 2010 conference had a presentation by Myspace about how they have used the CCR framework in their middle tier. They also open sourced the code base. MySpace DataRelay Mix Video Presentation

  Read the article

• Java (or possibly other languages) learning path

  - by bgo

  I am familiar (as a self-learner) with C, python and php such that i can solve some problems involving simple steps (for example, i easily do calculations for physics lab reports with python which normally would take 4x-5x times longer with a calculator). The point here is, as doing such things, i learnt the idea / concepts of programming language and problem solving along with oop or fuctional programming etc. Recently i have started Java and, with the familiarity of other languages, i am doing well for starters but i need guidence. -I am thinking of learning syntax from sun java tutorials and then practicing with codingbat.com or similar sites. I need a reference book that i can study deeper aspects of the topics i am learning. What do you suggest about these? -The problem is (and always have been) the lack of practice. I need coding and problem-solving practices sources. I stuck at the point where i can't figure out what to do next. Can you suggest any source (possibly like codingbat)? If i could plan a learning trail, i can progress faster and efficiently. So i need ideas, comments, suggestions. Thanks in advance.

  Read the article

• is it better to spend my free time mastering a language I work with or learning a new one?

  - by edthethird

  I work full time on an android project and am very comfortable with both java and the android framework. On a good day, I would rate my abilities at an 8, and maybe a 7 on a bad day. I've recently found myself with more free time then I'm used too, so I have been working on a lot of personal projects. I am beginning to wonder what others think about this; is it worth my time to continue experimenting and pushing Android, or would I be better off learning another language? What do you all think about this? What would you do with more free time and energy than you know what to do with?

  Read the article

• Which version of Java should I use for learning?

  - by Dan

  I am a QA engineer interested in mobile development and automation.I have basic programming experience (intermediate level Python, C++ programmer) and as most companies choose Java for writing frameworks I need to pickup Java. I use Ubutnu 12.04 LTS and I will be using Head First Java as learning material. When I searched for JDK options I found Oracle Java 6 and 7 and Open JDK. I read somewhere in Ubuntu forums that Java 6 is not recommended on Ubuntu systems and I am a little bit confused about which version should I use, that would be compatible with the book and the OS.

  Read the article

• Should I be paid for time spent learning a framework?

  - by nate-bit

  To give light to the situation: I am currently one of two programmers working in a small startup software company. Part of my job requires me to learn a Web development framework that I am not currently familiar with. I get paid by the hour. So the question is: Is it wholly ethical to spend multiple hours of the day reading through documentation and tutorials and be paid for this time where I am not actively developing for our product? Or should the bulk of this learning be done at home, or otherwise off hours, to allow for more full-on development of our application during the work day?

  Read the article

• Java dev learning Python: what concepts do I need to wrap my head around?

  - by LRE

  I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (pun unintended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

  Read the article

• Java dev learning Python: what concepts do I need to wrap my head around?

  - by LRE

  I've run through a few tutorials and written some small projects. I'm right in the middle of a small project now infact. All is going well enough thanks in no small part to Uncle Google (who usually points me to Stackoverflow ;-) Several times in the last few days I've found myself wondering "what am I missing?" - I feel that I'm still thinking in Java as I write in Python. This question over at StackOverflow is full of tips about what resources to read up on for learning Python, but I still feel that I'm a Java dev with a dictionary (no pun intended) to translate into Python. What I really want to do is refactor my head to be able to write Pythonic Python instead of Java disguised as Python (not that I want to loose my Java skills). So, the crux of my question is: what concepts does a Java dev really need to learn to think Pythonic? This includes anything that needs to be un-learnt. ps: I consider language syntax to not be particularly relevant to this question.

  Read the article

• What's the normal way machine-learning algorithms are integrated into normal programs?

  - by Benjamin Pollack

  I'm currently taking a machine learning course for fun, and the course heavily focuses on Matlab/Octave to write the code. One thing mentioned in the course is that, while Matlab/Octave are great for prototyping, they're very rarely used for production algorithms. Instead, those algorithms are typically rewritten in C++/Python/etc., using appropriate libraries, before reaching customers. Fair enough; I get that. But here's my question: is that done for cultural reasons, for technical reasons, or because there is really no language that provides Matlab/Octave-like fluidity, but in a compiled form that can be linked from C/C++/$MainstreamLanguage? The game industry uses Lua for game logic because it's easy to embed, and vastly superior for expressing things like AI. Likewise, there are Prolog variants for rules-heavy applications, Scheme variants for compilers, and so on. If there's a matrix equivalent language, what is it? If there isn't, why is this field different?

  Read the article

• What Languages are mostly understood "intuitively" and could benefit from a more formal learning approach?

  - by keppla

  In a presentation, i stumbled upon the Statement "JavaScript is a Language everybody uses, yet nearly noone seems to find it neccessary to learn how it works". And indeed, not many of the programmers i know could explain javascript's prototype concept, or why functions need to be 'bound' to this. CSS seems to be another example of this behaviour: everyone knows how to put a 'class' to an element, and to write a style .myclass { ... }, but only a few even know of margin-collapse. My question is: are there more of those languages, technologies, concepts, that are so prevalent that we dont even notice them as something worth learning while we use them?

  Read the article

• Learning WPF and MVVM - best approach for learning from scratch

  - by bplus

  Hello, I've got about three years c# experience. I'd like to learn some WPF and the MVVM pattern. There are a lot of links to articles on this site but I'm getting a little overwhelmed. Would a sensible approach for a begginer to be forget mvvm for a while and just quickly learn a bit a of WPF, then come back to MVVM? I had a leaf through this book in work today, it doesn't seem to mention MVVM (at least not in the index). I was pretty surprised by this as I thought MVVM was supposed to be the "lingua franca" of WPF? Also I've just started working at a new company and they are using MVVM with WinForms, has anyone come across this before? Can anyone recommend a book that will teach me both WPF and MVVM?

  Read the article

• Design for a machine learning artificial intelligence framework

  - by Lirik

  This is a community wiki which aims to provide a good design for a machine learning/artificial intelligence framework (ML/AI framework). Please contribute to the design of a language-agnostic framework which would allow multiple ML/AI algorithms to be plugged into a single framework which: runs the algorithms with a user-specified data set. facilitates learning, qualification, and classification. allows users to easily plug in new algorithms. can aggregate or create an ensemble of the existing algorithms. can save/load the progress of the algorithm (i.e. save the network and weights of a neural network, save the tree of a decision tree, etc.). What is a good design for this sort of ML/AI framework?

  Read the article

• Design for a machine learning artificial intelligence framework (community wiki)

  - by Lirik

  This is a community wiki which aims to provide a good design for a machine learning/artificial intelligence framework (ML/AI framework). Please contribute to the design of a language-agnostic framework which would allow multiple ML/AI algorithms to be plugged into a single framework which: runs the algorithms with a user-specified data set. facilitates learning, qualification, and classification. allows users to easily plug in new algorithms. can aggregate or create an ensemble of the existing algorithms. can save/load the progress of the algorithm (i.e. save the network and weights of a neural network, save the tree of a decision tree, etc.). What is a good design for this sort of ML/AI framework?

  Read the article

• Algorithm and data structure learning resources for dynamic programming

  - by Pranav

  Im learning dynamic programming now, and while I know the theory well, designing DP algorithms for new problems is still difficult. This is what i would really like now- A book or a website, which poses a problem which can be solved by dynamic programming. Also there is the solution with an explanation available, which i would like to see if i cant solve the problem even after butting my head at it for a few hours. Is there some resource that provides this sort of a thing for several categories of algorithms- like graph algorithms, dynamic programming, etc? P.S. I considered Topcoder, but the solutions there are not really appropriate for learning to implement efficient solutions.

  Read the article

• What learning habits can you suggest?

  - by Asaf R

  Hi, Our profession often requires deep learning; sitting down and reading, and understanding. I'm currently undergoing an exam period, and I'm looking for ways to learn more effectively. I'm not asking about what to learn, or whether to prefer blogs over books, etc. My question is much more physical than that - What do you do when need to study, and I mean study hard? I'm looking for answers such as I slice my time to 2.5 hours intervals and make a break between them, but never during. I keep a jar of water nearby. I wake up at 6 o'clock sharp and start my day with a session at the gym. What good learning habits did acquire, or wish you had acquired? (I know this isn't strictly programming related, but it is programmers related)

  Read the article

• Machine Learning Algorithm for Peer-to-Peer Nodes

  - by FreshCode

  I want to apply machine learning to a classification problem in a parallel environment. Several independent nodes, each with multiple on/off sensors, can communicate their sensor data with the goal of classifying an event as defined by a heuristic, training data or both. Each peer will be measuring the same data from their unique perspective and will attempt to classify the result while taking into account that any neighbouring node (or its sensors or just the connection to the node) could be faulty. Nodes should function as equal peers and determine the most likely classification by communicating their results. Ultimately each node should make a decision based on their own sensor data and their peers' data. If it matters, false positives are OK for certain classifications (albeit undesirable) but false negatives would be totally unacceptable. Given that each final classification will receive good or bad feedback, what would be an appropriate machine learning algorithm to approach this problem with if the nodes could communicate with each other to determine the most likely classification?

  Read the article

• Machine Learning Algorithm for Parallel Nodes

  - by FreshCode

  I want to apply machine learning to a classification problem in a parallel environment. Several independent nodes, each with multiple on/off sensors, can communicate their sensor data with the goal of classifying an event defined by a heuristic, training data or both. Each peer will be measuring the same data from their unique perspective and will attempt to classify the result while taking into account that any neighbouring node (or its sensors or just the connection to the node) could be faulty. Nodes should function as equal peers and determine the most likely classification by communicating their results. Ultimately each node should make a decision based on their own sensor data and their peers' data. If it matters, false positives are OK (albeit undesirable) but false negatives are totally unacceptable. Given that each final classification will receive good or bad feedback, what would be an appropriate machine learning algorithm to approach this problem with if the nodes could communicate with each other to determine the most likely classification?

  Read the article

• PHP MVC Learning Suggestions

  - by Noah Goodrich

  Can someone recommend some good resources for learning about MVC in PHP? It doesn't have to be specific to MVC in PHP. In fact, I'm looking for recommendations of materials that focus on the higher level concepts with examples that could port well to any language so even ASP.net books will be tolerated ;-) Any recommendations for books, websites, blogs, etc would be excellent. UPDATE: I have reviewed the MVC Learning Resources post but all of the references there seemed to be ASP.net specific. I was hoping to gather suggestions that were broader than a single language.

  Read the article

• Hebbian learning

  - by Bane

  I have asked another question on Hebbian learning before, and I guess I got a good answer which I accepted, but, the problem is that I now realize that I've mistaken about Hebbian learning completely, and that I'm a bit confused. So, could you please explain how it can be useful, and what for? Because the way Wikipedia and some other pages describe it - it doesn't make sense! Why would we want to keep increasing the weight between the input and the output neuron if the fire together? What kind of problems can it be used to solve, because when I simulate it in my head, it certainly can't do the basic AND, OR, and other operations (say you initialize the weights at zero, the output neurons never fire, and the weights are never increased!)

  Read the article

• Learning using layers and CoreAnimation for iphone

  - by Eric

  Except for the official docs, what is a good resource for learning how to use CALayers and Core Animation efficiently/correctly?

  Read the article

• Less Mathematical Approaches to Machine Learning?

  - by Ed

  Out of curiosity, I've been reading up a bit on the field of Machine Learning, and I'm surprised at the amount of computation and mathematics involved. One book I'm reading through uses advanced concepts such as Ring Theory and PDEs (note: the only thing I know about PDEs is that they use that funny looking character). This strikes me as odd considering that mathematics itself is a hard thing to "learn." Are there any branches of Machine Learning that use different approaches? I would think that a approaches relying more on logic, memory, construction of unfounded assumptions, and over-generalizations would be a better way to go, since that seems more like the way animals think. Animals don't (explicitly) calculate probabilities and statistics; at least as far as I know.

  Read the article

• Learning C++ Templates

  - by Dynite

  Can anyone recommend any good resources for learning C++ Templates? Many thanks.

  Read the article

• Learning using layers and CoreAnimation for iphone

  - by Eric

  Except for the official docs, what is a good resource for learning how to use CALayers and Core Animation correclty?

  Read the article

• What are your suggestions on learning how to think?

  - by Jonathan Khoo

  First of all, this is not the generic 'make me a better programmer' question, even though the outcome of asking this question might seem similar to it. On programmers.SE, I've read and seen these get closed here, here, here, here, and here. We all know there are a multitude of generic suggestions to hone your programming skills (e.g reading SO, reading recommended books, following blogs, getting involved in open-source projects, etc.). This is not what I'm after. I also acknowledge the active readership on this web site and am hoping it works in my favour by yielding some great answers. From reading correspondence here, there appears to be a vast number of experienced people who are working, or have worked, programming-related fields. And most of you can convey thoughts in an eloquent, concise manner. I've recently noticed the distinction between someone who's capable of programming and a programmer who can really think. I refuse to believe that in order to become great at programmer, we simply submit ourselves to a lifetime of sponge-like behaviour (i.e absorb everything related to our field by reading, listening, watching, etc.). I would even state that simply knowing every single programming concept that allows you to solve problem X faster than everyone around you, if you can't think, you're enormously limiting yourself - you're just a fast robot. I like to believe there's a whole other face of being a great programmer which is unrelated to how much you know about programming, but it is how well you can intertwine new concepts and apply them to your programming profession or hobby. I haven't seen anyone delve into, or address, this facet of the human mind and programming. (Yes, it's also possible that I haven't looked hard enough too - sorry if that's the case.) So for anyone who has spent any time thinking about what I've mentioned above - or maybe it's everyone here because I'm a little behind in my personal/professional development - what are your suggestions on learning how to think? Aside from the usual reading, what else have you done to be better than the other people in your/our field?

  Read the article

• Developing wheel reinventing tendencies into a skill as opposed to reluctantly learning wheel-finding skills? [duplicate]

  - by Korey Hinton

  This question already has an answer here: Is reinventing the wheel really all that bad? 20 answers I am more of a high-level wheel reinventor. I definitely prefer to make use of existing API features built into a language and popular third-party frameworks that I know can solve the problem, however when I have a particular problem that I feel capable of solving within a reasonable time I am very reluctant to find someone else's solution. Here are a few reasons why I reinvent: It takes time to learn a new API API restrictions might exist that I don't know about Avoiding re-work of unfamiliar code I am conflicted between doing what I know and shifting to a new technique I don't feel comfortable with. On one hand I feel like following my instincts and getting really good at solving problems, especially ones that I would never challenge myself with if all I did was try to find answers. And on the other hand I feel like I might be missing out on important skills like saving time by finding the right framework and expanding my knowledge by learning how to use a new framework. I guess my question comes down to this: My current attitude is to stick to the built-in API and APIs I know well* and to not spend my time searching github for a solution to a problem I know I can solve myself within a reasonable amount of time. Is that a reasonable balance for a successful programmer? *Obviously I will still look around for new frameworks that save time and solve/simplify difficult problems.

  Read the article

• How should an undergraduate programmer organize his time learning the maximum possible?

  - by nischayn22

  I started programming lately(pre-final year of a CS degree) and now feel like there's a sea of uncovered treasure for me out there. So, I decided to cover as much as is possible before I look out for a job after graduation. So, I started to read books (The C++ Programming Language, Introduction to Algorithms, Cracking the Coding Interview, Programming Pearls,etc ) participate in StackExchange sites, solving problems (InterviewStreet and ProjectEuler), coding for open source, chatting to fellow programmers/mentors and try to learn more and more. Good,then what's the problem?? The problem is I am trying to do many things, but I am doubtful that I am still utilizing my time properly. I am reading many books and sometimes I just leave a book halfway (jumping from one book to another), sometimes I spend way too much time on chatting and also in getting lost somewhere in the huge internet world, and lastly the wasteful burden of attending classes (I don't think my teachers know good enough or I prefer learning on my own) May be some of you had similar situation. How did you organize your time? Or what do you think is the best way to organize it for an undergraduate? Also what mistakes am I making that you can warn me of

  Read the article

< Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >