Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

Machine learning revolves around developing self-learning computer algorithms that function by virtue of discovering patterns in data and making intelligent decisions based on such patterns.

Machine learning explores the construction and study of algorithms that can learn from and make predictions about data. Such algorithms operate by building a model from the input, in order to make data-driven predictions or decisions, rather than following strictly static program instructions.

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2360 questions
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What are the main problems hindering current AI development?

I have a background in Computer Engineering and have been working on developing better algorithms to mimic human thought. (One of my favorites is Analogical Modeling as applied to language processing and decision making.) However, the more I…
callyalater
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Which problems in AI are not machine learning?

Which problems in AI are not machine learning? Which problems involve both AI and machine learning?
Adil Mustafa
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A comprehensive list of machine learning algorithms

I could not find a comprehensive list of machine learning algorithms online. Can we try to make one here and improve and update it as needed? There are challenges in the algorithm definitions and how to group and organize them, but my preliminary…
Bernardo Costa
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How to prevent overfitting in stacked models?

I understand the intuition behind stacking models in machine learning, but even after thorough cross-validation scheme models seem to overfit. Most of the models I have seen in kaggle forums are large ensembles, but seem to overfit very little.
thecomplexitytheorist
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Which courses in computer science and logic are relevant to Machine Learning?

Although I have a decent background in math, I'm trying to understand which courses from CS and logic to look into. My aim is to get into a Machine Learning PhD program.
stranger
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Why is the research on artificial intelligence at this stage all researching on a separate ability?

Why is the research on artificial intelligence at this stage all researching on a separate ability? For example, train the visual ability of the computer alone, train the speech recognition ability alone, and train the natural language understanding…
huang
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How to replicate legacy systems with machine learning?

Let's suppose that we have a legacy system in which we don't have the source code and this system is on a mainframe written in Cobol. Is there any way using machine learning in which we can learn from the inputs and outputs the way the executables…
jcromanu
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Is accuracy of a machine learning algorithm independent of the features?

I’ve been experimenting on several datasets and found something very strange while implementing ML. I’ll Explain after the code… import numpy as np from sklearn import datasets iris = datasets.load_iris() # 4 features in np array - 150 rows case =…
Aneesh Kumar
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What's done towards AI learning new ways of learning?

Most (all I know) machine learning systems use a fixed set of data input channels and processing algorithms, only expanding underlying dataset processed by these; they obtain new data but only from predefined sources, and use only their fixed,…
SF.
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Is it possible for an AI to learn how to speak from books as training sets?

I want to know something more about it. Are there any github repo or an open source project?
Federico Zucchi
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Does machine learning continue to learn?

If I do supervised learning the model learns from the labeled input data. This seems to be quite often a small set of human annotated data. Is it true to say this is the only 'learning' the model does? It seems like the small data set has a huge…
schoon
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How can I have a computer learn the equation with known dependent variables?

I'm trying to design an orbital rendezvous program for Kerbal Space Program. I'm focusing on when to launch my spacecraft so that I can end up in the general vicinity of the target. If I can control the ascent profile, the remaining dependent…
Oblivion
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How does a sigmoid neuron output 1 with 0 as input?

Sorry if that is a dumb question. I just started to learn about machine learning. I'm reading this book about neural networks: http://neuralnetworksanddeeplearning.com/chap1.html#a_simple_network_to_classify_handwritten_digits It explains how an…
user3361941
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How much data do I need to collect?

I'm trying to optimize a combination of 8 cards with 64 card characters. No repeats and order doesn't matter. n!/(n!(n-r)!) = 4,426,165,368 combinations I have everything set up, including the data scrapper. But I don't know how many games my…
user6582640
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Streaming time series data to detect fraud?

I'm currently looking in to the possibility of using machine learning to detect fraudulent transactions on our website based on the events that happen for each user. I'd like to be able to stream events in to it, such as sign up, order placed,…
Michael Baldry
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