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Results tagged with machine-learning
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user 52014
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.
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Is non-negative matrix factorization for machine learning obsolete?
I will give you a few scenarios where matrix factorisation stills works pretty well.
Topic Modelling : Given a matrix of Document as Rows and Terms/Words as column you can use Non Negative Matrix fac …
- 164
0
votes
Given embedding vector A and vector B, how to find top k embedding vectors such that they ar...
As the objective is to find the most similar to A and disimilar Vector to B approach 2 would be the most appropriate.
Why not Approach 1:
It can lead to confusing results. If you look at the example b …
- 164
0
votes
Why does k-means have more bias than spectral clustering and GMM?
K means tried to cluster data points into 0 and 1 rules for cluster assignment i.e. Data Point belongs to a class or it does not. But sometimes the data points comes from classes whose probability dis …
- 164
0
votes
Why does Batch Normalization work?
When we are training deep neural Network gradient tells how to update each parameter, under the assumption other layers do not change.In Practice, we update all the layers simultaneously. When we upd …
- 164