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Results tagged with machine-learning
Search options not deleted user 45506
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
1 vote
1 answer
132 views
Does it make sense to parallelize machine learning algorithms as part of PhD research? [closed]
I'm developing machine learning algorithms to aid in the diagnosis and prognosis of various cancers for my PhD. My lab is an Nvidia teaching center (CUDA). My supervisor thinks that I need to also o …
- 160
0 votes
Accuracy of the model
Having a higher accuracy on the test set, than the train set, isn't inherently bad. It means your model definitely did not overfit the training data and it generalized enough for unseen data. You can …
- 160
1 vote
why One-Hot Encoder can avoid the situation that the model will misunderstand the data to be...
From the blog, one hot encoding resolves the issue by explicitly showing that 1 category is true, while all others are false (1 vs 0). One column is turned into 3 columns which describe all categories …
- 160
1 vote
No target variable in my data
I didn't have enough room in the comments so I'm responding here. I don't think you'll provide anything useful if you build models to predict any of the columns in your sample. However, your descri …
- 160