-
Answer | Explanation
-- | --
α=0.3 is an effective choice of learning rate. | We want gradient descent to quickly converge to the minimum, so the current setting of α seems to be good, X[WRONG]
…
-
Create simulation run Optimizer class that allows creating of linear space for multiple simulation parameters
Output will be optimization objective including total growth and volatility
Measure …
-
The basic idea is to build a module which tests the basic assumptions of linear regression, then calculates the metrics like (R-squared,F-Statistic,etc) to evaluate if the data set has a good linear r…
-
I would like to so a nonlinear quantile regression, using a power law fit.
**This is my current Code, where i can do a u-curved linear quantile regression like (Y = b o + b1X1 + b2X12)...**
df_o…
-
JavaScript lacks native functionality for statistical analysis, even for the most basic of functions:
- Summation, mean, mode, etc.
- Variance, standard deviation, variety of functions for probability…
-
Hi there,
Sorry, this is my first time posting an issue for an R package so I am unsure what is standard protocol. If you need me to submit a full markdown file then I could probably do that.
I …
-
- [ ] autoencoder.png
- [ ] backprop_visually.png
- [ ] calculus_slope_intro.png
- [ ] cnn_filter_output.png
- [ ] cnn.jpg
- [ ] cross_entropy.png
- [ ] decision_tree.png
- [ ] dropout_net.png
…
-
#### Course Content
- https://www.coursera.org/learn/machine-learning/home/week/2
#### Lecture Notes (Course Wiki)
- [Linear Regression with Multiple Variables](https://share.coursera.org/wiki/index.p…
-
Hi everyone!
I was writing the method part of our group proposal and here are some of my concerns:
1. Can we use goodness of fit for model selection?
2. I remember during the meeting, a linear …
-
Bugs:
- [x] Ensure the percentage in the uncertainty interval can be changed.
- [x] Ensure changing the percentage of the ‘uncertainty interval’ does not cause errors.
- [x] Ensure equivalent hypo…