Ask HN: What's the difference between ML and AI?
1–10 of 19 posts
Re: Ask HN: What's the difference between ML and AI?
#2Could this be one of those cases where someone in HR or recruiting just regurgitated keywords onto a job description?
Re: Ask HN: What's the difference between ML and AI?
#3Re: Ask HN: What's the difference between ML and AI?
#4I assure you the companies posting them couldn't tell you the difference either.
Re: Ask HN: What's the difference between ML and AI?
#5I've seen several job posts I assure you the companies posting them couldn't tell you the difference either.
Re: Ask HN: What's the difference between ML and AI?
#6Re: Ask HN: What's the difference between ML and AI?
#7Could be wrong tho since I’m neither AI nor ML engineer lol. I just layman who puts down the pipes for the AI and ML people to set up their stuff.
Re: Ask HN: What's the difference between ML and AI?
#8Machine learning is a branch of cybernetics.
AI is a branch of machine learning that hopes one day to use circular causality to replace the need for humans in the loop.
AI safety is the branch of AI that worries that AI won't align with humans in terms of incentive and motivations. Their main concern is circular causality in AI.
Re: Ask HN: What's the difference between ML and AI?
#9AI is an umbrella term covering a variety of interrelated, but distinct, subfields. Some of the most common fields you will encounter within the broader field of artificial intelligence include:
Machine learning (ML): a subset of AI in which algorithms are trained on data sets to become machine learning models capable of performing specific tasks.
Deep learning: A subset of ML, in which artificial neural networks (AANs) that mimic the human brain are used to perform more complex reasoning tasks without human intervention.
Natural Language Processing (NLP): A subset of computer science, AI, linguistics, and ML focused on creating software capable of interpreting human communication.
Robotics: A subset of AI, computer science, and electrical engineering focused on creating robots capable of learning and performing complex tasks in real world environments.