Kudos to the author, a very very nice overview of things!

I was just at a big conference where there was now a lot of AI talk and papers etc and, as that hasn't been my area, I've been catching up. Have been hearing so much about GNN and ensembles and things that I haven't had to think about before. So now I'm going through this and looking up new-to-me terms. Sweet.

Now it's just to work out how to save it as an epub to browse on the beach.

Surprised to see something on hackernews that isn't an AI picked selection of articles :-)

/s

I was curious what the AI would include if promoted to create a similar list. I prefer the human version.

Ref: https://chatgpt.com/s/t_689a00f83f7c8191b70d07912a092f86

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

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.

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 """