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

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3
votes
1answer
204 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 (...
60
votes
5answers
96k 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 ...
8
votes
2answers
3k views

What math skills are required to learn machine learning? [closed]

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 ...
10
votes
4answers
648 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 ...
5
votes
1answer
350 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 ...
10
votes
1answer
13k 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. ...
3
votes
2answers
4k 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 ...
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 "...
7
votes
3answers
4k 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 ...
1
vote
4answers
158 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 ...
3
votes
2answers
148 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: - ...
1
vote
1answer
881 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 ...
4
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 ...
2
votes
1answer
207 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.). ...
9
votes
5answers
10k 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 ...
6
votes
2answers
852 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 ...
4
votes
4answers
837 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 ...
6
votes
1answer
587 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 ...
11
votes
9answers
938 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 ...
136
votes
14answers
8k 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 ...
3
votes
1answer
162 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 researches/...
6
votes
5answers
7k 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 ...
0
votes
1answer
343 views

Adaptative interface with Open GL and machine learning in C#

For my Semester project I have to go for any Adaptative Interface Design. My language is C# and I have to Use OpenTK (wrapper for OpenGL). I have an idea that I should show two points and some ...
4
votes
2answers
335 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 ...
3
votes
1answer
425 views

Watson Information Encoding [closed]

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 ...
11
votes
3answers
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 ...
0
votes
3answers
622 views

Computer Science or Computer Engineering for Data Science and Machine Learning [closed]

I'm a 25 year old data consultant who is considering returning to school to get a second bachelors degree in computer science or engineering. My interest is data science and machine learning. I use ...
3
votes
6answers
426 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 ...