Hi, I want to use an open-source study for my commercial product. This study closed to commercial usage. (ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY)

I don’t have enough experience with the software licenses. If I change the model a little bit and train it again from scratch, will I have the right to use it commercially? If so How much change do I have to make?

Thanks in advance.

I’m doing research on deploying ML to production and am wondering how many of you benchmark your existing models before putting it into production? How extensive is your testing and do you run AB testing in production to validate that your new model is better than the existing one?

Another related question – do you take snapshots of everything that goes in and out of your models to eventually use it for troubleshooting models? How often do models have performance issues any way?

Cheers

Hi, i’m new to machine learning but have been keen to get into it for a while. I want to create a program which ultimately will use player data to predict a high scoring fantasy football team each week. My player data will include statistics such as:

– Position, team etc

– Scores from previous weeks (as well as total and average score)

– Fixture difficulty of the upcoming game

– Player price

I have been doing some research on ML algorithms and linear regression seems to be the right one to use but I wanted to ask for some advice on the different algorithms and how to approach this project.

This article summarizes a few classical papers about measuring uncertainty in deep neural networks.

It’s an overview article, but I felt the quality of the article is much higher than the typical “getting started with ML” kind of medium blog posts, so people might appreciate it on this forum.

https://www.inovex.de/blog/uncertainty-quantification-deep-learning/

I am looking to join a startup whose needs overlap in a particular area (in my case, NLP for information retrieval).

I am not sure if applying on LinkedIn is the way to go, it seems mostly for mid and bigger sized companies, or startups which are more in a rapidly expanding phase, which I wouldn’t mind.

I am in the Silicon Valley bay area, which has a ton of startups. I am looking to see if any of their needs align with my focus, so that even if they haven’t explicitly posted a job posting, I would still be able to send my portfolio for them to checkout and see if they could use a person like me.

After some days digging into the Rasa tool and examples, I’m curious about how to do common engineering practice work on it. My questions are like:

1. version control, what to control and how.
2. how to organize stories and domains, if there’re multiple scenarios.
3. how people collaborate on it

If you have ideas or experience working with Rasa, would you like share some here?

Thanks, 🙂

We have been looking for a robust solution to monitor our models in production and was wondering what you guys are using?

Hello everyone

I need to evaluate the quality of the 3D model (or point cloud) reconstructed from 3D laser scans. The main issue is, that I don´t have the ground truth model for this evaluation. Can you please suggest any ideas? I read many research papers on which usually used photogrammetry or model created from photographs. But I don´t have photos, I can use only scans from a laser scanner. The main goal is to find the best reconstruction method (I have to try many Iterative Closest Point (ICP) variants).

I am thinking about compare distances between reference points of the reconstructed model with manually measured distances from the real object, but it should be an automated process. Or maybe I can use more scanners in fixed positions for scanning different objects and then evaluate ICP transformation. The most consistent transformation should be the best. What do you think about it? Please write your ideas. Thanks 🙂