
Wolfram Community » Machine Learning
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This section of the forum is for algorithms that can learn from and make classifications and predictions on data. Ask machine learning related questions, discuss about different projects, and contribute to other people's projects.
Wolfram Community » Machine Learning
3d ago
I've been testing the usefulness of the new Notebook Assistant with Mathematica 14.2, and I have some thoughts. I've been a user of Mathematica since version 1.1, and have witnessed personally some of the boom and bust cycles of artificial intelligence. In the 1990s, I developed and implemented a highly successful expert system, which, although is primitive compared to current AI efforts, was state-of-the-art at the time. All of the demos of the notebook assistant are impressive, and it is remarkable that it works as well as it does. Once I got to the hands-on stage, I realized that this is re ..read more
Wolfram Community » Machine Learning
1w ago
A = {{1, 1, 1}, {0, 2, 3}, {5, 5, 1}}; Inverse[A] = {{13/8, -(1/2), -(1/8)}, {-(15/8), 1/2, 3/8}, {5/4, 0, -(1/4)}} svdInverse[a_?MatrixQ] := Module[{u, s, v}, {u, s, v} = SingularValueDecomposition[a]; Return[v . Inverse[s] . ConjugateTranspose[u]]]; svdInverse[A] = Over 100 lines of indecipherable garbage. svdInverse[a_?MatrixQ] := Module[{u, s, v}, {u, s, v} = SingularValueDecomposition[a]; Return[v . Inverse[s] .Transpose[u]]]; svdInverse[A] = Over 100 lines of indecipherable garbage. svdInverse[a_?MatrixQ] := Module[{u, s, v}, {u, s, v} = SingularValueDecomposition[a]; Return[v . Inverse ..read more
Wolfram Community » Machine Learning
1w ago
**Purpose** My purpose is to take urine sample data from the James Elliot Urology laboratory and build a machine learning model that can take these samples and with reasonable accuracy give us a probability that the patient has a Kidney Stone. This will act as an efficient and accurate initial level “screening” that can improve medical procedures around the world. **Introduction and Background Information:** Kidney Stones are hard deposits made of minerals and salts that form inside the kidney. They can affect any part of the urinary tract, from your kidneys to your bladder. The stone forms wh ..read more
Wolfram Community » Machine Learning
1w ago
**Purpose** My purpose is to take urine sample data from the James Elliot Urology laboratory and build a machine learning model that can take these samples and with reasonable accuracy give us a probability that the patient has a Kidney Stone. This will act as an efficient and accurate initial level “screening” that can improve medical procedures around the world. **Introduction and Background Information:** Kidney Stones are hard deposits made of minerals and salts that form inside the kidney. They can affect any part of the urinary tract, from your kidneys to your bladder. The stone forms wh ..read more
Wolfram Community » Machine Learning
3w ago
![Reinforcement learning applied feedback control][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Main15012025.png&userId=20103 [2]: https://www.wolframcloud.com/obj/19917eee-9072-4202-9810-50513cb607c8 ..read more
Wolfram Community » Machine Learning
1M ago
![Functional and machine learning models for single stage membrane and co-current membrane cascade][1] &[Wolfram Notebook][2] [1]: https://community.wolfram.com//c/portal/getImageAttachment?filename=Main07012025.png&userId=20103 [2]: https://www.wolframcloud.com/obj/1364b011-ee2e-4610-aafd-dc151e431dda ..read more
Wolfram Community » Machine Learning
1M ago
&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/b121e154-1238-49db-8c9e-0b73bf5cd8e8 ..read more
Wolfram Community » Machine Learning
2M ago
&[Wolfram Notebook][1] [1]: https://www.wolframcloud.com/obj/b7f52af9-979c-4094-983e-9a706ae098fd ..read more
Wolfram Community » Machine Learning
3M ago
Hello Wolfram Community! I’m working on implementing a custom loss function in Mathematica to apply a weighted least squares approach to neural networks. Specifically, I’d like to modify the standard mean squared error (MSE) loss function to incorporate weights, so it can account for the varying importance of different data points in training. **Objective** The standard MSE loss function simply calculates the average squared difference between the actual values and the predicted values. I’d like to generalize this to a weighted mean squared error, or weighted least squares (WLS), by including ..read more
Wolfram Community » Machine Learning
3M ago
I am wondering if someone came across a book that teach how to build recommendation systems by wolfram language. I got many books using Python, but no books based on wolfram language. I am desperately needed to get some suggestions ..read more