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Results tagged with machine-learning
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user 13505
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.
2
votes
Accepted
How to fill missing numeric if any value in a subset is missing, all other columns with the ...
You should try all of:
Using a classifier that can handle missing data. Decision trees can handle missing features both in input and in output. Try xgboost, which does great on kaggle competition wi …
- 1,051
73
votes
Accepted
Why do cost functions use the square error?
Your loss function would not work because it incentivizes setting $\theta_1$ to any finite value and $\theta_0$ to $-\infty$.
Let's call $r(x,y)=\frac{1}{m}\sum_{i=1}^m {h_\theta\left(x^{(i)}\right)} …
- 1,051
1
vote
How to handle missing data data in dependent variable?
The questions you're asking are empirical questions. The only answer anyone can give is to try all of them and see which works better.
You have three options:
Impute data
Throw away data
Use a cla …
- 1,051