How would I implement Matrix Factorization Algorithm for a Spring App? - spring

So I have this CS course that has a project about building a web application using a REST API. I am in the backend and I used the Spring framework. There is a task, to implement Matrix Factorization algorithm from scratch. I am a bit lost. How would I implement this. Should I just load all my data from the DB and do the calculations with java? That seems like a waste of memory. Is there a more efficient way to do this? Thanks for reading, any help would be more than welcome.

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Right approach to learning data structures

Maybe some of you will not find this question to be inappropriate in this forum but I sincerely need some guidance on this. I have been working on Algorithms and Data structures lately, for Algorithm I have been practicing problem solving on topcoder and codechef, which is helping me a lot in understanding algorithms. But most problems are focused on algorithm, and I still don't get a lot problems where I have to focus on which data structure to pick. So can anybody recommend some website or other tools that focus on developing right instincts for choosing Data structures and their implementation.
The first step is to implement the different data structures so you understand the operations they support. You should also make a table of them with the operations they support and their complexity. Take a book on algorithms and data structures and implement all the data structures in it and work through the problems.
Once you understand the data structures well, you'll gain much more from doing hard problems and looking at clever solutions. If you see a clever use of a data structure you know well, it'll typically be much more surprising to you and you'll remember the solution.
Another important point is that if you typically use a specific programming language, make sure you know what data structures are provided by its standard library and make sure you know what the standard (or documentation) says about their implementation (i.e. what complexity bounds different operations are guaranteed to have etc.).

Data structures in real world

I know C++, C#...and done with data structures class. Though, in data structures class, at school we just learned the concept (or at most the pseudocode) of data structures, but not in real world of coding (implementation of those concept).
Do I need to turn that concept of data structures in to real world of coding before finding a job?
I know it's good to turn those data structures in to real world of coding (implementation),but it will take along time to do that and currently I real need a job.
You should continue to search for a job and practice implementing and using data structures. Knowledge of the concepts is valuable, but it is far more valuable when combined with practical skill.
As per my experience, the knowledge required to perform your job function is based a lot on the job profile you get. If you are looking for a job, then the companies you apply for might ask you concepts for data structures and may even ask you to code. But again, this depends on the company you have applied for. Nowadays, most established companies have their own set of APIs developed, and at the start of one's career, a developer is simple asked to use these APIs to develop small functionalities. So, most companies focus on a person knowing the concepts, and when you are working, you slowly pick up the skills to do API development.
Thus, if you are comfortable with programming, you should be good. Best of luck! :)

What is the most robust, universal ActiveRecord implementation for JavaScript/SSJS?

Although I'm not very familiar with its usage yet, I'm intrigued by what I've seen of the power of convention-over-configuration employed in the ActiveRecord pattern, popularized by Ruby-on-Rails. I've seen a few JavaScript implementations out there, but was looking for advice on which was:
The most universal JavaScript implementation in terms of both adapter support (ranging from in-memory JSON stores to specific databases) and CommonJS-friendliness (if relevant yet)
The most robust in terms of elegantly leveraging conventions for reducing redundancy and allowing for rapid application development.
Combining the strengths of JavaScript such as its possibilities for code reuse on the client and server-side, with what appears from my limited perspective to be the primary draw of RoR, seems a slam dunk.
Also any tips on getting started or good tutorials, would be most welcome.
I guess it is too late for this answer but you want to have a look at Ember and Ember-Data. Ember does exactly what you want. http://emberjs.com/

Which one is easy to implement for starters Ehcache or Memcached?

Hi all am fresher to the coding field having background about c, c++, php, little java. I wanted to implement caching concept in my grais application (Which is my first grails experience). Can anyone suggest me, (in implementation side) which one will be easy to understand and implement for freshers like me. Your valuable answers will be very helpful for most of the freshers like me. Thanks in advance.
Performance wise Ehcache is very fast than memcached.. But ehcache needs to be implemented on each slave nodes. When the size of the databse is not too large you can go for ehcache.. In implimentation side both are not too complicated to implement.

MATLAB efficient dynamically expanding primitive

Just wondering if MATLAB has an efficient dynamically expanding primitive, something akin to Java Collections? I realise that the Java API is always an option, but it can be a complete pain to use. Of course something like the ArrayList would be simple to implement, but I was specifically wondering about built-in data structures.
Thanks very much.
Map Containers should fit your criteria of built-in data structure.
Java Collections Framework might not be best as example for 'expanding primitive'. It is a framework implemented based on the Java language. Even in Java, 'primitive data types' are breaking pure object orientation.

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