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Questions tagged [definitions]

a discussion (meta) tag used when there exists *disagreement* or *confusion* about the everyday meaning of a term or phrase.

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What's The Difference Between The Terms Predictor And Feature

For the term 'predictor', I found the following definition: Predictor Variable: One or more variables that are used to determine or predict the target variable. Whereas Wikipedia contains the ...
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What is the definition of “training efficiency” for an artificial neural network?

I recently received reviewer feedback of a paper that uses ANN on an engineering problem. I mention important hyperparameters such as the optimizer, learning rate and so on. I also have a graph which ...
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Forecast vs Prediction: What is the difference?

I use the two terms as follows: A prediction model gets features (which can be a time series) as input and gives a fixed-length output (might be multiple values, but "atomic" in some sense) Examples:...
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1answer
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What does the term “proportional to” mean in Bayes Equation?

I don't have a background in maths so I sometimes get confused by basic definitions. Let's for instance consider Bayes Theorem in Bayes Data Analysis: $P(\theta|\textbf{y}) \propto P(\theta) P(\...
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35 views

Formal definition for parameter setting in data mining context

While reading this material on decision trees, I came across the following statement: The construction of decision tree classifiers does not require any domain knowledge or parameter setting, and ...
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1answer
95 views

What is the relationship between AI and data science?

I think they share a lot (e.g. machine learning is a subset of both, right?), but maybe both have elements the other doesn't have? Could you name some in that case? Or is one a subset of the other? ...
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What is the difference between outlier detection and anomaly detection?

I would like to know the difference in terms of applications (e.g. which one is credit card fraud detection?) and in terms of used techniques. Example papers which define the task would be welcome.
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Can the learning rate be considered both a parameter AND a hyper-parameter?

Here is my understanding of those 2 terms: Hyper-parameter: A variable that is set by a human before the training process starts. Examples are the number of hidden-layers in a Neural Network, the ...
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241 views

Difference between Data Engineer and Data Scientist

I'm very confuse with the term Data Engineer and Data Scientist. There are lot of jobs available for both roles in current market with almost same technical skills requirement. Are they same or ...
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What is the definition of precision for no positive classifications?

The precision is defined as $$\text{precision} = \frac{\text{true positive}}{\text{true positive} + \text{false positive}}$$ Is there any definition what this value should be if there is no ...
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336 views

Original Meaning of “Intelligence” in “Business Intelligence”

What does the term "Intelligence" originally stand for in "Business Intelligence" ? Does it mean as used in "Artificial Intelligence" or as used in "Intelligence Agency" ? In other words, does "...
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What is an alternative name for “Unstructured Data”?

I'm writing my thesis at the moment, and for some time - due to a lack of a proper alternative - I've stuck with "unstructured data" for referring to natural, free flowing text, e.g. Wikipedia ...
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What is the definition of knowledge within data science? [closed]

"Knowledge" is crucial within several fields like Knowledge Discovery, Knowledge Distraction, Natural Language Processing, Data Mining, Big Data, etc etc etc. What is the definition of knowledge ...
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How is Data Science related to Machine learning?

I went through this comparison of analytic disciplines and this perspective of machine learning, but I am not finding any answers on the following: How is Data Science related to Machine learning? ...
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1answer
214 views

What is “data science”? [closed]

In recent years, the term "data" seems to have become a term widely used without specific definition. Everyone seems to use the phrase. Even people as technology-impaired as my grandparents use the ...
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1answer
42 views

How is the concept of data different for different disciplines?

How is the concept of data different for different disciplines? Obviously, for physicists and sociologists, "data" is something different.
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1answer
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What's the difference between data products and intelligent systems?

Basically, both are software systems that are based on data and algorithms.
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3answers
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Starting my career as Data Scientist, is Software Engineering experience required? [closed]

I am an MSc student at the University of Edinburgh, specialized in machine learning and natural language processing. I had some practical courses focused on data mining, and others dealing with ...
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1answer
87 views

How to define a custom resampling methodology

I'm using an experimental design to test the robustness of different classification methods, and now I'm searching for the correct definition of such design. I'm creating different subsets of the ...
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1answer
351 views

Network structure: k-cliques vs. p-cliques

In network structure, what is the difference between k-cliques and p-cliques, can anyone give a brief explaination with examples? Thanks in advanced! ============================ EDIT: I found an ...
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Data Science oriented dataset/research question for Statistics MSc thesis

I'd like to explore 'data science'. The term seems a little vague to me, but I expect it to require: machine learning (rather than traditional statistics); a large enough dataset that you have to run ...
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3answers
703 views

Parallel and distributed computing

What is(are) the difference(s) between parallel and distributed computing? When it comes to scalability and efficiency, it is very common to see solutions dealing with computations in clusters of ...
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4answers
1k views

Is Data Science the Same as Data Mining?

I am sure data science as will be discussed in this forum has several synonyms or at least related fields where large data is analyzed. My particular question is in regards to Data Mining. I took a ...