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https://howtojeremy.com/

My personal blog that now has my photography portfolio. It is slowing becoming more photography focused as I continue to obsess about it.


I am very grateful for this site and community.


Former Bootcamp runner/teacher:

I think a bootcamp can be good (depends on the camp) to help you kick start the learning process. A few months in a place doing things daily can be helpful.

This is great if you really want to spend a long time doing this. It takes years to get decent at programming.

The promise that you will find a job right after I don't think is realistic. I am not saying it can't happen but it is very difficult. Companies have a lot of options now and typically won't even look at boot camp grads.

If this is a near life long investment, it could be useful to kick start that. Just with the caveat it will probably take time.


Merry Christmas. I am very grateful for this community, I hope everyone has an amazing 2024.


https://agi-today.com/

Writing about AI and AGI.


That is a good one. I think it is hard to make long term financial decisions. Should I buy a house or keep renting for a bit longer. What impact would this purchase have on my financial health.


https://maybe.co/ might be what you’re looking for? Doesn’t really call for AI, more a fancy spreadsheet and easy/numerous modeling.

(no affiliation, beta user, built by the founder of baremetrics)


Exactly. That is my point. AGI would be great but there could be things we could apply ML or AI that would be a really helpful to people.


Yeah. Legal expertise is really expensive.


I would say I felt the same way. I am also self taught and just have high school level math. For the most part of my career though it hasn't really been an issue.

But I want to learn ML so digging in. I feel like it is not as bad as I thought it would be, I think the problem with math information is assumes a lot of things. There are tons of notation that is really dense.

My recommendation would be to pick a project or an area, because math is huge. Try to find resources for that. So for ML it is linear algebra and Calculus. Try to find a bunch of resources and get different ways of explaining it.

I highly recommend:

Math for Programmers by Paul Orland

https://betterexplained.com/


This looks really cool, nice job.


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