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What is the difference between a generative and a discriminative algorithm?
...ms, which learn a model of labeled training data to derive a function that predicts other data. The discrimitive algorithm as you describe it sounds as if it does not create a model, is that correct? I would be glad if you could enhence your answer in that regard.
– Lenar Hoyt
...
Which machine learning classifier to choose, in general? [closed]
...n what kind of data you have and what your desired task is.
If you are Predicting Category :
You have Labeled Data
You need to follow Classification Approach and its algorithms
You don't have Labeled Data
You need to go for Clustering Approach
If you are...
Performance optimization strategies of last resort [closed]
...is not constantly figuring out things that the programmer knows are fairly predictable. In other words, don't "interpret" the sequence of things to do, "compile" it.
That redesign is done, shrinking the source code by a factor of 4, and the time is reduced to 10 seconds.
Now, because it's gettin...
Mod in Java produces negative numbers [duplicate]
...aster than a % depends on your CPU and the data you feed it, due to branch prediction--ifs are faster if the condition has a predictable pattern.
– Vitruvius
Jun 23 '17 at 21:37
1
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An efficient compression algorithm for short text strings [closed]
...Y them. URLs follow well-defined patterns, and some parts of it are highly predictable. By making use of this knowledge, you can codify the URLs into something smaller to begin with, and ideas behind Huffman encoding can help you here.
For example, translating the URL into a bit stream, you could r...
What is the difference between 'log' and 'symlog'?
...sns.scatterplot(x= 'Score', y ='Total Amount Deposited', data = df, hue = 'Predicted Category')
[
'
Log scaled plot. Everything collapsed.
ax = sns.scatterplot(x= 'Score', y ='Total Amount Deposited', data = df, hue = 'Predicted Category')
ax.set_xscale('log')
ax.set_yscale('log')
...
Understanding “randomness”
...
Neither is 'more random'.
rand() generates a predictable set of numbers based on a psuedo-random seed (usually based on the current time, which is always changing). Multiplying two consecutive numbers in the sequence generates a different, but equally predictable, seque...
What is the difference between supervised learning and unsupervised learning? [closed]
...es and not-faces and a good algorithm will eventually learn and be able to predict whether or not an unseen image is a face.
This particular example of face detection is supervised, which means that your examples must be labeled, or explicitly say which ones are faces and which ones aren't.
In an ...
HashSet vs LinkedHashSet
... the insertion order.
When we iterate through a HashSet, the order is unpredictable while it is predictable in case of LinkedHashSet.
The reason for how LinkedHashSet maintains insertion order is that:
The underlying used data structure is Doubly-Linked-List.
...
When should I use the “strictfp” keyword in java?
..., implying that the results
of all FP-strict expressions must be
those predicted by IEEE 754 arithmetic
on operands represented using single
and double formats. Within an
expression that is not FP-strict, some
leeway is granted for an
implementation to use an extended
exponent range ...