# Tag Info

Accepted

### Use of machine learning in computational fluid dynamics

It's a long-running joke that CFD stands for "colorful fluid dynamics". Nevertheless, it is used -- and useful -- in a wide range of applications. I believe your discontent stems from not ...
• 11.9k
Accepted

### Sensitivity of $y$ w.r.t. to $x$ in $y=f(x)$ where f is a routine

The act of using automatic differentiation for derivative calculations of general programs has become known as differentiable programming. There are many grades of differentiable programming across ...
• 11.6k
Accepted

### Why aren't Krylov subspace methods popular in the Machine Learning community compared to Gradient Descent?

On a basic level, I don't buy the argument that you have to "solve a linear system for many machine learning algorithms". Much more, you usually have to optimize a non-linear equation which ...
• 2,547
Accepted

### Markov (Chain) image generators?

I've implemented this recently, basically it counts how many times each specific colour borders another colour to make up a frequency table. To generate an image, a random colour and position are ...
• 226

### Are there tasks in machine learning which require double precision floating points?

I am not an expert in machine learning, but I can outline the considerations that are relevant. The numerical calculations in machine learning are generally linear algebra -- either solving linear ...
• 16.2k
Accepted

• 705

### Advantage of diagonal "jitter" for numerical stability?

Look up something on Tikhonov regularization, also known as ridge regression in machine learning. This is a standard technique (but I agree that the explanation in that notebook is somewhat poor). ...
• 8,770

### Learning computational science through guided discovery

I learn computation science through Practical Numerical Methods with Python. https://github.com/numerical-mooc/numerical-mooc/wiki It covers finite differencing and many other numerical algorithms. ...

### Interpolation of Data Value using Optimized Weighting of Its Features

The problem is not convex, as one can verify using the simplest possible choice: $N=2, d=1$ and with data $x_1=x_2=1, f_1=1, f_2=0$. In that case, your objective function is  F(C) = 2\left(1-\exp(-...
• 50.7k

### Seeking a free symbolic regression software

I found the gramEvol R package flexible and easy to use. They have a small tutorial in which they rederive Kepler's third law from data. Note that it relies on Genetic Programmic for its optimisation ...
Accepted

### Why is FLOP(Floating Point Operations Per Second) mentioned as a specification on every GPU?

This metric is pretty much as misleading (or useful, depending on your perspective) for GPUs as it is for CPUs. Currently, a lot of applications/algorithm's implementations are limited more by memory ...
• 8,382
Accepted

### Interpolation vs. Neural network

I have limited experience in machine learning; however, simplifying, you can think of it as a "trained black box". I would say, you have to know a lot about your problem, the behaviour of your ...
• 8,382

### How to filter customer voice from customer - agent conversation recordings?

This seems to be the "Cocktail Party Problem". Andrew Ng's machine learning course on Coursera gives a solution based on SVD for this problem. See the first week's course notes. Ng refers to ...
• 428

### Seeking a free symbolic regression software

There is also a package for R called rgp. Visit this link. https://cran.r-project.org/web/packages/rgp/index.html I have not used rgp as I have only begun to use R seriously but it seemed like a ...
• 21

### fmincg implementation in Python

I assume you didn't specify the fprime parameter. If you don't provide this param fmin_cg has to figure out its own solution ...
• 121
Accepted

### How to train a model to classify object trajectories?

Just some quick ideas from someone who works in the realm of feature extraction in physical systems modeling such as this: you want to find the simplest and strongest differentiating characteristics ...
• 201