11–20 of 35 posts
question to experts of HN in ML/AI. Could you please share the beginner resources you think would worth for a person who wants to switch their domain from CRUD/backend APIs to ML/AI. There seems to be many branches of this domain, not sure where to start. Is my understanding correct? * ML engineer -> engineer who builds ML models with pytorch (or similar frameworks) * AI engineer -> engineer who builds applications o…
It uses keras, which is obsolete. Nobody uses that thing anymore. Stay away from this.
It uses keras, which is obsolete. Nobody uses that thing anymore. Stay away from this.
It's pretty sad to see that social networking is being adopted as an identification and trust mechanism even by technical people. It was bad enough when some governments began demanding social networking usernames for visa/immigrant screening, but we can't even send an email without social proof to other technical people now?
It uses keras, which is obsolete. Nobody uses that thing anymore. Stay away from this.
Also, the API isn't all that different from other libraries. The principles are the same.
question to experts of HN in ML/AI. Could you please share the beginner resources you think would worth for a person who wants to switch their domain from CRUD/backend APIs to ML/AI. There seems to be many branches of this domain, not sure where to start. Is my understanding correct? * ML engineer -> engineer who builds ML models with pytorch (or similar frameworks) * AI engineer -> engineer who builds applications o…
> When you send me an email, please provide at least two SNS [social networking service] addresses (e.g. LinkedIn, Twitter) for verification purposes. ... I no longer accept contact from anonymous individuals. It's pretty sad to see that social networking is being adopted as an identification and trust mechanism even by technical people. It was bad enough when some governments began demanding social networking userna…
This reminds of that joke, where a guy shows up at the Air Force HQ recruitment center. They ask, "Pilot license? Experience? Qualifications?" He replies, "Nope, just here to say: Don't count on me!"
There are many others that are better. 1/ The Annotated Transformer Attention is All You Need http://nlp.seas.harvard.edu/annotated-transformer/ 2/ Transformers from Scratch https://e2eml.school/transformers.html 3/ Andrej Karpathy has really good series of intros: https://karpathy.ai/zero-to-hero.html Let's build GPT: from scratch, in code, spelled out. https://www.youtube.com/watch?v=kCc8FmEb1nY GPT with Andrej Kar…
The website listed here:
> I consider requests for full commercial use of all content on this site (and the github repository). For a complete buyout of all content rights, the cost is €10,000,000. > I’d like to ask you what problems you have by that I keep on having the copyright of my document.
+ no commercial-use without paying 20% royalty.
So fairly expensive for a Keras tutorial.
question to experts of HN in ML/AI. Could you please share the beginner resources you think would worth for a person who wants to switch their domain from CRUD/backend APIs to ML/AI. There seems to be many branches of this domain, not sure where to start. Is my understanding correct? * ML engineer -> engineer who builds ML models with pytorch (or similar frameworks) * AI engineer -> engineer who builds applications o…
If you want to make an impact, become excellent at those, you will be able to use these skills, for domains like Systems Integration and Business Analytics. Let the people who do Research bring you the Algorithms and nowadays even the trained Models.
It uses keras, which is obsolete. Nobody uses that thing anymore. Stay away from this.
I prefer PyTorch myself, but to call Keras obsolete is quite the stretch. Just because academia has largely moved on from it, doesn't mean nobody uses it. Also, the API isn't all that different from other libraries. The principles are the same.
Google itself has moved on to JAX.