Questions tagged [definitions]
a discussion (meta) tag used when there exists *disagreement* or *confusion* about the everyday meaning of a term or phrase.
40 questions
3 votes
1 answer
44 views
Are shallow neural networks without feedback like finite state automata?
Consider shallow neural networks without feedback. Are they like finite state automata? Among philosophers, there exists a general consensus that animals think like FSA (see sphexishness). Animals are ...
- 143
1 vote
0 answers
223 views
Product name matching - Entity Resolution or Entity Linkage or both?
Context I am at the start of a project where I would like to map/match/link external product names to the respective internal product names. The goal should be to ingest related external information (...
- 145
1 vote
0 answers
27 views
confusion with Xavier Initiliazation definition
When researching online, I keep finding that Xavier/Glorot initialization is: however, the original paper by Glorot said that this was a common initialization strategy that they soon found did not ...
- 11
2 votes
2 answers
454 views
How would you explain Data Science to someone in simple layman terms?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply ...
- 4,323
1 vote
0 answers
34 views
Definition adjectives for clustering
For a school project, I need to explain which clustering algorithm of Scikit-Learn we need to use based on the input data. The documentation is very well done, especially thanks to a comparative table ...
- 11
3 votes
1 answer
165 views
Origin of the Boolean Model of Information Retrieval
Simple question, but I can't really find the answer to that: Who "invented" Boolean Retrieval? Of course, I assume that the concept grew over time, but is there a paper or publication that ...
- 81
-2 votes
1 answer
79 views
When are two neural networks independent from each other? [closed]
I want to know how you would define the independence of a neural network.
1 vote
1 answer
52 views
Intuitive explanation of Adversarial machine learning
How would you explain Adversarial machine learning in simple layman terms for a non-STEM person? What are the main ideas behind Adversarial machine learning?
- 4,323
0 votes
2 answers
233 views
What is difference between Standard Normal Distribution and Mean Normalization approaches to feature-scaling?
The tag feature-scaling seems to convey that one of the scaling methods is Standard Normal Distribution. Further, I read an Answer on this site saying that Mean Normalization is a form of feature ...
- 639
2 votes
1 answer
4k views
What does anneal mean in the context of machine learning?
An article released by Open AI gives an overview of how Open AI Five works. There is a paragraph in the article stating: Our agent is trained to maximize the exponentially decayed sum of future ...
3 votes
2 answers
229 views
Is it correct to define the F-measure as the harmonic mean of specificity and sensitivity in such a way?
It is common to define the F-measure as a function of precision and recall, as mentioned in [1]: $F_{\beta}=\frac{(1+\beta^2)PR}{\beta^2 P+R}$ However I came across some other cases, another ...
- 33
1 vote
1 answer
186 views
Is the search for a specific n-gram the same like a string search?
Is the result of a search for a specific n-gram like sherlock+holmes equal to the result of a regex search for "sherlock holmes" in the same document corpus? So if i read about n-grams for certain ...
- 51
5 votes
2 answers
13k views
What does it mean when we say an algorithm/metric is agnostic
Problem I have all kinds of machine learning terms that co-occur with the word "agnostic", including model-agnostic learning, model-agnostic metric. From the dictionary, it explains the word "...
- 93
1 vote
2 answers
67 views
Is the _error_ in the context of ML always just the difference of predictions and targets?
Simple definitional question: In the context of machine learning, is the error of a model always the difference of predictions $f(x) = \hat{y}$ and targets $y$? Or are there also other definitions of ...
- 235
0 votes
1 answer
389 views
What is the difference between the value -99 and NaN in a data column?
I am new to data science. I was looking into some datasets and I saw some values like -99, which I discovered later that it means that there is a missing value. Does this mean the same thing as NaN? ...
- 231