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Hand-picked selection of articles on AI fundamentals/concepts

aman.ai

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Re: Hand-picked selection of articles on AI fundamentals/concepts

#11

Post by 93po »

if im a below average web developer of 15 years and wanted to transition to entry level ML/AI engineer of any sort, how much time would you guess it would take to become a competitive candidate if i worked at it full time? i'm intelligent but just completely declined to apply myself more to web dev, which is why i sucked at it.

i've been unemployed for two years and it's hard to find anything i can do with my background that isn't "software engineer". entry level stuff for adjacent things like project or product management simply aren't available. exploring options like data science seems to show that area is also extremely competitive and the job market is terrible.

i really do not want to grind leetcode for the sake of yet another job plumbing CRUD apps together, but i could see myself learning a new domain and following through with that because the end result would be worth it/interesting

Re: Hand-picked selection of articles on AI fundamentals/concepts

#12

Post by mumbisChungo »

93po wrote: post #11

if im a below average web developer of 15 years and wanted to transition to entry level ML/AI engineer of any sort, how much time would you guess it would take to become a competitive candidate if i worked at it full time? i'm intelligent but just completely declined to apply myself more to web dev, which is why i sucked at it. i've been unemployed for two years and it's hard to find anything i can do with my backgro…

AI/ML dev is just boring old SWE but now you've got some new ingredients in the mix.

Re: Hand-picked selection of articles on AI fundamentals/concepts

#13

Post by 93po »

mumbisChungo wrote: post #12
93po wrote: post #11

if im a below average web developer of 15 years and wanted to transition to entry level ML/AI engineer of any sort, how much time would you guess it would take to become a competitive candidate if i worked at it full time? i'm intelligent but just completely declined to apply myself more to web dev, which is why i sucked at it. i've been unemployed for two years and it's hard to find anything i can do with my backgro…

AI/ML dev is just boring old SWE but now you've got some new ingredients in the mix.

i think my hope is that interviews for ML engineering would focus on domain knowledge specific to ML and not intricate questions about using typescript and react, which is the sort of stuff i simply cannot bring myself to care about enough to memorize well enough to discuss well in an interview

Re: Hand-picked selection of articles on AI fundamentals/concepts

#14

Post by skydhash »

93po wrote: post #13
mumbisChungo wrote: post #12

Earlier quoted context omitted.

AI/ML dev is just boring old SWE but now you've got some new ingredients in the mix.

i think my hope is that interviews for ML engineering would focus on domain knowledge specific to ML and not intricate questions about using typescript and react, which is the sort of stuff i simply cannot bring myself to care about enough to memorize well enough to discuss well in an interview

The premise is a basic understanding of matrices and stats. Then go through a course on machine learning (supervized, unsupervised, deep and reinforcement learning). That’s for the theory. Easy if you know your math and python.

The practical side is endless tweaking of the data and the models. And keeping yourself informed about new models and techniques (throug scientific papers)

Re: Hand-picked selection of articles on AI fundamentals/concepts

#15

Post by bertman »

At first, I was confused because I didn't get why they would call it "hand-picked" when literally every single "article" on that site is attributed to the site itself.

And then I clicked a random page and, well, it's slop:

>By amplifying the signal from minority class data and leveraging the diversity of models, these methods enhance prediction accuracy and fairness across all classes. When paired with complementary techniques such as resampling, adjusting class weights, or generating synthetic data, ensemble methods can yield even more robust results in handling imbalanced datasets.

Re: Hand-picked selection of articles on AI fundamentals/concepts

#16

Post by smohare »

bertman wrote: post #15

At first, I was confused because I didn't get why they would call it "hand-picked" when literally every single "article" on that site is attributed to the site itself. And then I clicked a random page and, well, it's slop: >By amplifying the signal from minority class data and leveraging the diversity of models, these methods enhance prediction accuracy and fairness across all classes. When paired with complementary…

[dead]

Re: Hand-picked selection of articles on AI fundamentals/concepts

#17

Post by lrei »

Warning: This is AI generated, probably a low end model as some of the content is outright nonsense eg: """ concept of MoE is quite prevalent (refer Outrageously Large Neural Networks: the Sparsely-Gated Mixture-of-Experts Layer), with Langchain’s high-level implementation of an LLMRouterChain, and notable low-level integrated examples """

Re: Hand-picked selection of articles on AI fundamentals/concepts

#18

Post by 93po »

skydhash wrote: post #14
93po wrote: post #13

Earlier quoted context omitted.

i think my hope is that interviews for ML engineering would focus on domain knowledge specific to ML and not intricate questions about using typescript and react, which is the sort of stuff i simply cannot bring myself to care about enough to memorize well enough to discuss well in an interview

The premise is a basic understanding of matrices and stats. Then go through a course on machine learning (supervized, unsupervised, deep and reinforcement learning). That’s for the theory. Easy if you know your math and python. The practical side is endless tweaking of the data and the models. And keeping yourself informed about new models and techniques (throug scientific papers)

thanks! i think i understand the nature of the job okay, i think its more my ability to realistically get there in 6-12 months is what i'm concerned about

Re: Hand-picked selection of articles on AI fundamentals/concepts

#19

Post by fragmede »

lrei wrote: post #17

Warning: This is AI generated, probably a low end model as some of the content is outright nonsense eg: """ concept of MoE is quite prevalent (refer Outrageously Large Neural Networks: the Sparsely-Gated Mixture-of-Experts Layer), with Langchain’s high-level implementation of an LLMRouterChain, and notable low-level integrated examples """

The paper itself is fairly popular, with several thousand citations.

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, Jeff Dean

https://arxiv.org/abs/1701.06538

Re: Hand-picked selection of articles on AI fundamentals/concepts

#20

Post by imsaw »

93po wrote: post #13
mumbisChungo wrote: post #12

Earlier quoted context omitted.

AI/ML dev is just boring old SWE but now you've got some new ingredients in the mix.

i think my hope is that interviews for ML engineering would focus on domain knowledge specific to ML and not intricate questions about using typescript and react, which is the sort of stuff i simply cannot bring myself to care about enough to memorize well enough to discuss well in an interview

Exploring Kaggle and participating in ML competitions is an excellent way of getting hands on experience.
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