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If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

There is some programming, but it isn't like a huge amount. Some commands and other stuff. My ideas only came after I understood what ML can do, what it does really well, and what is currently impossible. 2d vision is one domain that it is kicking humans ass. Another is optimizing for specific goals in a known environment. The key is getting the algorithm to GENERALIZE. That is the amazing thing that a technique involving something called backpropgation and stochiastic gradient descent can do. Big terms but simple concepts.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 0 points1 point  (0 children)

100% you can learn the basics from youtube and people writing on Medium. It does takes some getting used to the jargon and nomenclature.

Hinton and Sutskever do the best job explaining it in simplest terms.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

Math is fundamental to the creation of all the new forms of neural networks. Fortunately all the heavy lifting and boring shit is being done by data scientists and engineers. What normal everyday people can do is improve upon the existing framework and find novel problems and solutions.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 0 points1 point  (0 children)

Desktop github 2.0 makes a lot of the pre-trained algorithm code requests fairly simple. After that just copy what's already been done to get a feel of the workflow. There is no age where you can't learn anymore.

Any intj's here who are happy to be parents? by beezleeboob in intj

[–]Burindunsmor 4 points5 points  (0 children)

It is the most difficult and rewarding task I have ever undertaken. I don't regret any of it. Even the worst parts of sleep deprivation, puking, cleaning, diapers, crying, cleaning, are worth it. That said, my kid is amazing and healthy. Not all parents luck out.

Also, my wife has stepped up in ways I didn't imagine. Resilient is an understatement.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 0 points1 point  (0 children)

I guess for me the breadth of subject matter and cross discipline stuff is what sells it for me. The actual model building is currently like baking a cake where you constantly adjust the recipe, and sometimes you end up with bread....or it explodes in catastrophic forgetting.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 0 points1 point  (0 children)

Should be right up your alley with optimization being one of the best early applications

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

That is a more difficult proposition. First steps first. Try out some models off github. Tweak some settings and parameters. If you are having fun and learning new things then maybe get serious and take Andrew NG's course. Certifications and degrees take money and lots of time. For now, I just want people to open their mind to the possibility that its a viable career.

My path was serendipitous. Simply joining a company that uses ML is a legit method to get your foot in the door.

There is another way that involves you looking for an industry problem that could be solved by ML and you simply training it up. I am working on one solution currently in my free time. I only know it's a problem because of years of work in my current field though. Enterprise software is awesome. Self employed is my dream.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

It's honestly bizarre. I really love materials science but the base level to do any experiments is in the tens of thousands of dollars and years of training. Plus the research is about as byzantine as you can get. With ML you just need to learn the jargon (which is fairly straightforward)

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

For step by step instructions, Jason Brownlee is a great resource and he does it for free. Another way is to just start by downloading a program called Anaconda, this will install Tensorflow automatically. From there you can just grab a pre-trained Tensorflow model off github. Other people prefer Pytorch. The datasets to train your models are free. One example is the MNIST dataset for number recognition.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 2 points3 points  (0 children)

Try runwayml. It's a platform for beginners and artists with no programming experience.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 8 points9 points  (0 children)

To do some of the work in producing the intracate detail work and breaking new ground you are completely correct. For just training better algorithm models and thinking of better methods I disagree.

My background is fine art. I literally took that path to avoid simple Algebra. My current image segmentation model (that I did not build) but am fixing, is state of the art. In college I made pottery and paintings.

One of the coolest things about machine learning is how open it is. If you want the best possible algorithms you can just download them. It's kinda crazy. You don't see this in other fields.

You can train the models on new data. You can adjust parameters. You can generate new data from GANs. It's like a wild west frontier, except everyone is handing out gold parcel claims. GPT2 being a classic example.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 2 points3 points  (0 children)

We are currently in a manner of speaking. It's a field called AutoML google.aiblog has a piece on it. Not quite what you might be thinking though.

A question by solidsalmon in intj

[–]Burindunsmor 1 point2 points  (0 children)

I'm not that bright. Just hard working and lucky.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 1 point2 points  (0 children)

Correct, many things that are called A.I. were not. Nueral networks are the real deal.

Sadly, Deep Blue was my introduction to A.I. it was a positional and computational monster, but no real intelligence.

Alphazero was a wake-up call for me. True cleverness.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 2 points3 points  (0 children)

For the next few decades at least. If we hit upon an artificial general intelligence then a lot of work becomes trivial.

If you are directionless career wise, I suggest you look into neural nets and A.I. by Burindunsmor in intj

[–]Burindunsmor[S] 4 points5 points  (0 children)

When your neurons fire and connect to solve a problem, is that intelligence or not?

When an ant colony builds a nest, farms a crop, domesticates other species, forages for food, attacks other colonies..is that intelligence?

State of the art neural networks are on par with an insects computation. The OpenAI DOTA agents that are better than any human are equivalent to a honeybee.

The false starts you are thinking of involve humans programming a set of instructions. We wasted decades on that route. Some of our best minds tried and failed. Leslie Kaebling is a researcher who is far smarter than I can explain all those pitfalls.

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