I would like to learn working with IMS, can somebody suggest me a good source? I'm not sure if it matters to say that I have quite good exposure and experience with INSYNC DB2 and QMF. So anything that can depict and explain the advantages and disadvantages over IMS would be really helpful. Please provide me a good page where i get good explanation and hands on scope.. Thanks
Try for the below listed books.
IMS for the Cobol Programmer, Part 1: Data Base Processing With Ims/Vs and Dl/I Dos/Vs By Steve Eckols
IMS for the Cobol Programmer, Part 2: Data Communications and Message Format Service (Pt.2) by Steve Eckols
I. M. S. Programming Techniques: Guide to Using D. L./1 by Dan Kapp and Joseph F. Lebe
Option 3 is a very good book which gives very well structured examples. Good luck
IBM IMS Tutorials
If you're interested in books, you can serach Amazon for IBM IMS.
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I recently came across a blog post that introduced the term "Bayesian Spam Filtering" and talked about how this was the approach behind spam filtering for emails.
I also remember a paper (perhaps it was this?) discussing how Game Theory is involved in packet routing, or how it used for Resource Allocation in Cloud Computing. Also, I recall a university course on Formal Methods, and how they're used in Software Engineering.
I am looking for books which talk about how concepts from Mathematics or CS Theory are actually applied in every day technology.
Any good textbook will at least mention and ideally discuss everyday applications of the subject matter whenever possible. For example, the excellent Artificial Intelligence: A Modern Approach by Russell and Norvig does this throughout.
More specialized books will of course tend to have deeper discussions of the applications. What is one 30-page chapter in Russell and Norvig is a whole book by Sutton and Barto: Reinforcement Learning: An Introduction (free pdf at the link, courtesy of the authors). Have a look at chapter 16 for some fascinating applications.
There are also books that start with an application, i.e. a practical problem, and then develop all the theory necessary to solve it. One of my favorites in this category is In Pursuit of the Traveling Salesman: Mathematics at the Limits of Computation by William Cook.
You might be interested in Math for Programmers which has some interesting approaches to programming by pure math. In retrospect, A Programmer's Introduction to Mathematics teaches math using programming, which might be helpful if you want to learn it backwards.
Can anyone tell me what algorithm is used to classify intents and understand entities in Watson assistant? Have they published any papers or articles regarding this?
Yes, they published this paper explaining in a manner how the Watson Work, and for more information you should learn about Cognitive Systems, but in advance it's not just one algorithm used, but many approaches that combined are capable of getting the desired result.
Another material you should learn if this is your interest is the computer science area "Information Retrieval", in which many subjects are used to comprehend what the user wants and give the needed information. The book Modern Information Retrieval is a good start point.
According to IBM Developer Answers:
"Intents are classified using an SVM, with some pre training by IBM. entities use a fuzzy matching algorithm."
https://developer.ibm.com/answers/questions/387916/watson-conversation-algorithm/
Support Vector Machine (SVM) is a supervised machine learning algorithm.
I am a beginner Silverlight programmer preparing for the interview in medical research company. Job sounds damn interesting and I would like to get there.
To show my skills and interest, I want to write a program related to the topic.
What would you suggest?
First ideas: simple statistical analysis of input data, image collections (for example, find HD DNA image and put it in Silverlight Deep Zoom), lab inventory program..
Have a look at http://research.microsoft.com/en-us/projects/bio/default.aspx the Microsoft Biology Foundation, part of Microsoft Research. Its code is OpenSource (sic) and you will find many applications there. The apps cover most of the basics, sequences, etc. and have some nice display tools.
Collection/Maintenance/Retrieval of data is very important for any organization. Try this tutorial:
Silverlight tutorial: Creating a data centric web app with DataGrid, LINQ, and WCF Web Service
You placed a "bioinformatics" tag on your question. Many bioinformatics companies consider Perl programming to be quite important.
I suggest that you perform a search on "bioinformatics Perl" and take a look at books and sites that are retrieved. Perhaps you could park yourself at a local bookstore and peruse some of those titles. Free Perl interpreters are available.
You do have a basic understanding of genetics, yes? Be very familiar with some of the terminology, so you won't have to stare off into space while you pick from genotype/phenotype or mRNA/RNA/DNA or recall what a codon is.
It wouldn't hurt to nose around PubMed and get a basic understanding of what genomes are out there and what statistical tests can be performed on them.
I like your statistics idea. Perhaps you could write a program that tells you whether to accept or reject a null hypothesis based on numbers you read in from a file. Or perhaps you could figure out how to use the statistics portion of Entrez Gene in PubMed.
Best wishes for the interview.
So, i recently found this term related somehow to neural networks, but I don't find anymore info on this topic, and it seems interesting.
Does anybody know where I can find more info for starters on this?
thanks in advance
Even though I'm not sure what you mean by optimization networks, I'm suggesting you Stuart Russel and Peter Norvig's "Artificial Intelligence: A Modern Approach", which is sort of a standard book in AI.
I can't find the most recent version(2009) on Amazon though - they are only listing the rather old but not outdated 2nd edition.
Machine learning algorithms/techniques can be used to optimize solutions to given problems.
Is that what you are looking for?
I recommend you to buy the book Programming Collective Intelligence: Building Smart Web 2.0 Applications.
You won't regret it ;-)
I've been working on a project, which is a combination of an application server and an object database, and is currently running on a single machine only. Some time ago I read a paper which describes a distributed relational database, and got some ideas on how to apply the ideas in that paper to my project, so that I could make a high-availability version of it running on a cluster using a shared-nothing architecture.
My problem is, that I don't have experience on designing distributed systems and their protocols - I did not take the advanced CS courses about distributed systems at university. So I'm worried about being able to design a protocol, which does not cause deadlock, starvation, split brain and other problems.
Question: Where can I find good material about designing distributed systems? What methods there are for verifying that a distributed protocol works right? Recommendations of books, academic articles and others are welcome.
I learned a lot by looking at what is published about really huge web-based plattforms, and especially how their systems evolved over time to meet their growth.
Here a some examples I found enlightening:
eBay Architecture: Nice history of their architecture and the issues they had. Obviously they can't use a lot of caching for the auctions and bids, so their story is different in that point from many others. As of 2006, they deployed 100,000 new lines of code every two weeks - and are able to roll back an ongoing deployment if issues arise.
Paper on Google File System: Nice analysis of what they needed, how they implemented it and how it performs in production use. After reading this, I found it less scary to build parts of the infrastructure myself to meet exactly my needs, if necessary, and that such a solution can and probably should be quite simple and straight-forward. There is also a lot of interesting stuff on the net (including YouTube videos) on BigTable and MapReduce, other important parts of Google's architecture.
Inside MySpace: One of the few really huge sites build on the Microsoft stack. You can learn a lot of what not to do with your data layer.
A great start for finding much more resources on this topic is the Real Life Architectures section on the "High Scalability" web site. For example they a good summary on Amazons architecture.
Learning distributed computing isn't easy. Its really a very vast field covering areas on communication, security, reliability, concurrency etc., each of which would take years to master. Understanding will eventually come through a lot of reading and practical experience. You seem to have a challenging project to start with, so heres your chance :)
The two most popular books on distributed computing are, I believe:
1) Distributed Systems: Concepts and Design - George Coulouris et al.
2) Distributed Systems: Principles and Paradigms - A. S. Tanenbaum and M. Van Steen
Both these books give a very good introduction to current approaches (including communication protocols) that are being used to build successful distributed systems. I've personally used the latter mostly and I've found it to be an excellent text. If you think the reviews on Amazon aren't very good, its because most readers compare this book to other books written by A.S. Tanenbaum (who IMO is one of the best authors in the field of Computer Science) which are quite frankly better written.
PS: I really question your need to design and verify a new protocol. If you are working with application servers and databases, what you need is probably already available.
I liked the book Distributed Systems: Principles and Paradigms by Andrew S. Tanenbaum and Maarten van Steen.
At a more abstract and formal level, Communicating and Mobile Systems: The Pi-Calculus by Robin Milner gives a calculus for verifying systems. There are variants of pi-calculus for verifying protocols, such as SPI-calculus (the wikipedia page for which has disappeared since I last looked), and implementations, some of which are also verification tools.
Where can I find good material about designing distributed systems?
I have never been able to finish the famous book from Nancy Lynch. However, I find that the book from Sukumar Ghosh Distributed Systems: An Algorithmic Approach is much easier to read, and it points to the original papers if needed.
It is nevertheless true that I didn't read the books from Gerard Tel and Nicola Santoro. Perhaps they are still easier to read...
What methods there are for verifying that a distributed protocol works right?
In order to survey the possibilities (and also in order to understand the question), I think that it is useful to get an overview of the possible tools from the book Software Specification Methods.
My final decision was to learn TLA+. Why? Even if the language and tools seem better, I really decided to try TLA+ because the guy behind it is Leslie Lamport. That is, not just a prominent figure on distributed systems, but also the author of Latex!
You can get the TLA+ book and several examples for free.
There are many classic papers written by Leslie Lamport :
(http://research.microsoft.com/en-us/um/people/lamport/pubs/pubs.html) and Edsger Dijkstra
(http://www.cs.utexas.edu/users/EWD/)
for the database side.
A main stream is NoSQL movement,many project are appearing in the market including CouchDb( couchdb.apache.org) , MongoDB ,Cassandra. These all have the promise of scalability and managability (replication, fault tolerance, high-availability).
One good book is Birman's Reliable Distributed Systems, although it has its detractors.
If you want to formally verify your protocol you could look at some of the techniques in Lynch's Distributed Algorithms.
It is likely that whatever protocol you are trying to implement has been designed and analysed before. I'll just plug my own blog, which covers e.g. consensus algorithms.