relates to algorithms that are "trained" by some data set.

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132
votes
14answers
7k views

Simple method for reliably detecting code in text?

GMail has this feature where it will warn you if you try to send an email that it thinks might have an attachment. Because GMail detected the string see the attached in the email, but no actual ...
60
votes
5answers
76k views

R vs Python for data analysis [closed]

I have been programming for about a year and I am really interested in data analysis and machine learning. I am taking part in a couple of online courses and am reading a couple of books. Everything ...
11
votes
9answers
871 views

Learning the rules of chess

A similar question asks whether a computer can learn to play optimally in chess by analyzing thousands of games. If a machine can look at the state of the board for a few games of chess (or a few ...
11
votes
3answers
815 views

Is there a good Cognitive Architecture for implementing intelligent software agents?

So, I like dabbling in intelligent agent design (mainly video-game 'bots' but also some general task automation), but as a budding psychologist, I'd be really interested in a platform for developing ...
11
votes
1answer
1k views

How is machine learning incorporated into search engine design?

I am currently building a small in-house search engine based on Apache Lucene. Its purpose is simple - based on some keywords, it will suggest some articles written internally within our company. I am ...
10
votes
4answers
598 views

Using machine learning to aim mirrors in a solar array?

I've been thinking about solar collectors where several independent mirrors to focus the light on a solar collector, similar to the following design from Energy Innovations. Because there will be ...
10
votes
5answers
2k views

Is it imaginable to teach a machine how to program itself to a defined specification? [closed]

A friend of mine without programming knowledge asked me this question and I found it interesting. I think it is not possible because it would require a really advanced artificial intelligence ...
10
votes
3answers
811 views

Can a neural network provide more than “yes” or “no” answers?

Every example neural network for image recognition I've read about produces a simple "yes" or "no" answer. One exit node corresponds to "Yes, this is a human face," and one corresponds to "No, this ...
10
votes
4answers
3k views

Switching to a career in Machine Learning [closed]

My day job is plain old software development. I am also doing my Masters in CS (part time, course based). I took a course on AI and found machine learning quite fascinating but like most courses it ...
9
votes
4answers
14k views

Industry jobs in artificial intelligence [closed]

As a relatively new computer science student, I am trying to find my niche within this broader field. My main goal is not academia but, well, a job. As such, I want to choose a specialization or two ...
9
votes
5answers
6k views

What's the best way to learn image processing? [closed]

I'm a senior in college that hasn't done much image processing before (except for some basic image compression on smartphones). I'm starting a research project on machine learning next semester that ...
9
votes
2answers
2k views

What math skills are required to learn machine learning?

I am interested in taking this online course on machine learning. As it stands my math is very elementary, and I am basically learning math from scratch on khan academy. Programming-wise I have a ...
8
votes
3answers
3k views

what techniques can be used to implement Facebook's People You May Know feature? [closed]

I'm curious to learn from a technical perspective what techniques can be used to make recommendations for e.g. Facebook's "People You May Know" (what algorithm do they use, etc.)? One of the things ...
8
votes
1answer
425 views

what do programmers dealing with data driven/machine learning related programming need? [closed]

Given the increasing amount of data generated through different web services ( social network, etc), there are must be more and more programmers who are familiar with machine learning and/or ...
7
votes
1answer
6k views

Decision trees vs. Neural Networks

I'm implementing a machine learning structure to try and predict fraud on financial systems like banks, etc... This means that there is a lot of different data that can be used to train the model eg. ...
6
votes
5answers
6k views

What skills are needed for machine learning jobs? [closed]

I posted this question on Quora, but didn't get enough responses. reposting it here. I am a learner sitting at home and learning linear algebra, very interested on working in Machine Learning ...
6
votes
3answers
2k views

What algorithm(s) can be used to achieve reasonably good next word prediction?

What is a good way of implementing "next-word prediction"? For example, the user types "I am" and the system suggests "a" and "not" (or possibly others) as the next word. I am aware of a method that ...
6
votes
2answers
514 views

How to trim emails for just the body, when using email as input to an external system?

When an application allows emails to be sent to it to either reply to comments or add todos, trimming those emails for just the relevant text becomes a problem, since there are many different ...
6
votes
1answer
447 views

Using grammars to extract bibliographic citations

My task lays in the area of text mining / labelling, more particular extraction of bibliographic citations (references) from the plain text, as shown here: Basically, for the input text the ...
5
votes
2answers
2k views

Machine Learning With Categorical and Continuous Data

This question could go here or on S.O. perhaps... Suppose that your training dataset contains both categorical and continuous data such as this setup: Animal, breed, sex, age, weight, ...
5
votes
2answers
302 views

How to solve this problem- Neural Net? Fuzzy? Other?

Hi I have a programming problem that I would like to solve using some artificial intelligence technique. I really dont know where to start. I would like some guidance as to what methodology to pursue. ...
4
votes
4answers
556 views

Implementing a machine learning algorithm to detect the region of an address

I have 10,000 addresses from a city, which all have a region field in the database. When a new address is entered, then I want my software to automatically detect the region of the address . I think ...
4
votes
1answer
321 views

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

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 ...
4
votes
2answers
130 views

Can I use machine learning for screening experimental data?

I am a experimental physicist. In our research, we have our experimental data in a 400*400*400 matrix(x, y, z axis of a 3d space), each entry is associated with a value("brightness"). We expect the ...
3
votes
2answers
1k views

What is the required background to apply Machine Learning to Finance?

I'm interested in machine learning in relations to the stock market (predicting future values of stocks etc). What topics would I need to learn - e.g. what branch of AI to look into etc? and what ...
3
votes
1answer
370 views

Watson Information Encoding [on hold]

IBM's Watson has a lot of book information encoded into a 'database' that Watson searches in real time. Does anyone know how that information is coded? It seems hard to imagine how humans could type ...
3
votes
2answers
3k views

Separating words in a string

How do I separate words in a string? In the following I have a random sample of words in a string extracted from text file with over a million words. Here's the string: "intervene Pockets ...
3
votes
2answers
145 views

Clustering algorithm that doesn't require predefining the number of clusters required

I have a set of user queries from a search engine that I want to cluster. The only clustering algorithm I have come across so far is the K-means clustering algorithm, which requires defining the ...
3
votes
1answer
161 views

Modern approaches to retrieve useful content from a web page?

What are the modern ways to (effectively) determine which part of page contains useful text, data tables, etc. and which are not (e.g. ads, navigation, etc.)? What were the last valuable ...
3
votes
1answer
189 views

Tasks incorrectly categorized with online text classifiers

Context: Finding company to do the job The use case of an application I want to write is that a user will describe a task to be performed by some company, e.g., I want to move 10 boxes ...
3
votes
2answers
146 views

Learning system instead of using sed/replace for reviewing test results

For every build of my software I run it through a series of tests that execute a number of commands on a command line and captures the results. Most of the time the output is a combination of: - ...
3
votes
1answer
274 views

Can symbolic AI 'learn' a data model?

Perceptrons, a simple form of supervised machine learning, must be trained with a set of known good inputs before they can "learn" by adjusting internal weights assigned to inputs, based on the ...
2
votes
6answers
391 views

What applications for self-adaptive programs can you think of? [closed]

Hey everyone! By self-adaptive programs, I mean the programs which are able to adapt to specific situations. For example they are able to repair them selves or are able to change their behavior ...
2
votes
1answer
564 views

Machine Learning with sample data set

I have a question regarding Machine Learning in general. Consider the following scenario: Given a piece of text, we want a program to know whether the text is 'abusive' or not. To do this we can ...
2
votes
1answer
59 views

How to access large amounts of data for machine learning in a microservices architecture

Imagine you are building a product recommendation algorithm for an eccommerce application which is built as a microservices architecture, this architecture having separate services for users and ...
2
votes
1answer
136 views

Random forest ML algorithm suitable for use on cluster based HPC?

I need help in identifying a better algorithm. I have developed a script using pythons scipy package to analyse a rather large model that I wish to solve. The model contains over 12GB of data ...
2
votes
1answer
140 views

Support Vector Machines as Neural Nets?

This is more of a conceptual question. I have learned about Neural Nets, and I have some clue as to how Support Vector Machines work. I read somewhere however that given the appropriate kernel (is ...
2
votes
1answer
178 views

What machine learning algorithm[s?] would be applicable here?

I have documents that contain an arbitrary amount of key/value fields. The value can be a primitive or a list. Completed documents all have an associated state (such as passed, failed, halted, etc.). ...
2
votes
0answers
20 views

How to use event weights in TMVA ROOT

I'm trying to train and perform classifiers from TMVA. My data set contains event weights besides event data. In the TMVA::Factory there's a method setWeightExpression to specify event weights. What ...
1
vote
1answer
1k views

How to design a calculator from scratch [closed]

A basic calculator can perform a wide variety of operations. How does the claculator 'get' the concept of adding two numbers in the same way a human does? I dont think people that make claculators ...
1
vote
1answer
601 views

Is Agile Development used in Machine Learning and Natural Language Processing?

I've been developing web apps for a while now and it is standard practice in our team to use agile development techniques and principles to implement the software. Recently, I've also become involved ...
1
vote
2answers
1k views

How to create a Semantic Network like wordnet based on Wikipedia?

I am an undergraduate student and I have to create a Semantic Network based on Wikipedia. This Semantic Network would be similar to Wordnet(except for it is based on Wikipedia and is concerned with ...
1
vote
1answer
196 views

How can I apply machine learning to automated melody generation? [closed]

I've been working for a while on an app that makes up melodies. Each melody is composed of several phrases (musical sentences, or 'sub-melodies'). Now, I want to improve on this: The user can press ...
1
vote
1answer
137 views

Generate algorithm to solve peg solitaire

I know that with regression it is possible to generate a mathematical function based on experimental data. I was wondering, maybe there is a way to generate something more complex. I have a single ...
1
vote
4answers
146 views

Possible applications of algorithm devised for differentiating between structured vs random text

I have written a program that can rapidly (within 5 sec on a 2GB RAM desktop, 2.33 Ghz CPU) differentiate between structured text (e.g English text) and random alphanumeric strings. It can also ...
1
vote
1answer
61 views

Recommending new products using k-means clusters?

I'm trying to figure out the best way to recommend images based on past classifications using k-means clusters. What I have done is mapped the RGB values of a set of images, performed a k-means ...
1
vote
1answer
97 views

Is it possible to get probabilities from a support vector machine?

From what I understand, SVM's take a discrete number of x and y values from which to learn from, then when given new x values map it to one y value (category). Is it possible to use SVM's or something ...
1
vote
1answer
450 views

Machine Learning Algorithm for Heating/Lighting Optimization

I'm working on a project where I'm developing an interface that learns how you typically use a space, and tries to create the most appropriate control strategy for heating/lighting. I've done some ...
1
vote
0answers
34 views

How is the event model of multinomial naive bayes algorithm right

The event model of multinomial NB is this: P(x1, x2...Xm | y=k) = P(x1 | =k) * P(x2 | y=k) * ...* P(xm | y=k), where x is i'th word in the document. Then we apply it to bag of words model. P = P(x1 ...
1
vote
0answers
69 views

Neural network converges to 0.5 for XoR

I'm coding a neural network in C for an OCR project. Before testing with character recognition, I'm making it learn the XoR operation. Although, the results I'n getting always converges to 0.5 instead ...