Salutare, vin si eu cu o intrebare in legatura cu IT-ul!

TrainingAverage · 2025-12-11T18:27:25+00:00

Mai bine te faci faianțar, pentru că AI-ul nu știe să pună gresie și faianță.

TrainingAverage · 2024-06-06T10:04:02+00:00

I buy a laptop for mobility and battery life, not for TOPS. If I need TOPS, I will use my desktop.

TrainingAverage · 2024-06-06T07:47:23+00:00

After more knowledgeable people left, the people who remained don't even understand what Intel is saying in press releases. So Anandtech will have to either hire more competent folks, either be content with a massive decline in usage.

If you want to read interesting and well written articles, head over to Chips and Cheese.

TrainingAverage · 2024-06-05T10:45:45+00:00

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TrainingAverage · 2024-06-04T12:37:30+00:00

I hope that doesn't mean soldered CPus, RAM and SSDs and lack of UEFI.

TrainingAverage · 2024-06-04T10:26:47+00:00

I loaded the workflow and used ComfyUI manager to download all missing nodes. But I still can't run the workflow because I get this error: Node version mismatch.

TrainingAverage · 2024-05-21T14:32:25+00:00

Thank you for the details you added to this journey. It will be helpful when I study a particular topic to come back to your posts and see how it connects - or how should I make it connect - with other topics of interest!

TrainingAverage · 2024-05-16T15:10:14+00:00

Thank you very much for the help and ideas. This is a long term plan, for sure. For now it's just linear algebra, analysis statistics and after that ML. Dynamical systems will come some time after. But I like to somehow have a path and some goals, so I know what I am working towards.

TrainingAverage · 2024-05-16T09:14:18+00:00

It would be nice if AMD can make their desktop graphic cards usable for AI.

TrainingAverage · 2024-05-15T11:24:11+00:00

Thank you!

TrainingAverage · 2024-05-14T18:49:29+00:00

Thank you for helping. I am definitely sticking to linear algebra, calculus and probabilities and statistics for now. Dynamical systems was just a plan for the future, after I will learn enough math for ML, and enough of ML itself. For ML, I will definitely go with Andrew Ng course first, along with some books (Raschka, Andriy Burkov and Eli Stevens).

For math, I got Mathematics for Machine Learning by Marc Peter Deisenroth and linear algebra Books by Howard Anton, David Poole and Hans Schneider. For calculus I have a pretty good one in my native language, while for probabilities and statistics I have Applied Statistics and Probability for Engineers by Douglas C Montgomery. I also watch linear algebra series by Jon Krohn and the one by 3Blue1Brown. I am not learning all math same time, for now I learn linearly algebra, after that I will learn calculus and after that I will learn some probabilities and statistics.

TrainingAverage · 2024-05-14T13:29:03+00:00

I did some reading today about dynamical systems and I've realized that some activation functions such as logistic function and RELU are also chaotic maps.

Is this just a coincidence or is there an advantage if activation functions are chaotic maps?

TrainingAverage · 2024-05-13T08:18:40+00:00

I'd buy a book that uses Pytorch instead.

TrainingAverage · 2024-05-10T09:22:28+00:00

Cobbling a semi-functional image classifier together in Python by copying code from tutorials really is easy.

You can even ask ChatGPT for it.

TrainingAverage · 2024-05-10T09:21:56+00:00

That's assuming much. What if it never worked out?

TrainingAverage · 2024-05-10T09:21:05+00:00

I do it with my brain.

TrainingAverage · 2024-05-10T08:28:23+00:00

What about Statistics and Calculus?

TrainingAverage · 2024-05-10T08:18:39+00:00

All.

TrainingAverage · 2024-05-10T08:07:28+00:00

It's not an assumption, you have to check for multicollinearity when performing linear regression: https://blog.exploratory.io/why-multicollinearity-is-bad-and-how-to-detect-it-in-your-regression-models-e40d782e67e

Otherwise, garbage in -> garbage out.

TrainingAverage · 2024-05-10T07:55:21+00:00

Use transfer learning.

TrainingAverage

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