u/britcruisein r/compsci • Recommends
The Nature of Machine learning (Evolution vs. Reinforcement vs. Abstract)
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#machinelearning#geneticalgorithms
What Is Machine Learning?
Art of the Problem
394K subscribers • 14 videos on Hallway
- Recommended by 2 people: 2 in engineering communities.
- May be out of date. Uploaded 7 years ago, in an area where tools change fast.
Beginner. No background in the topic needed.
64K views7 years ago2 recommendations
AI and machine learningClassic machine learningReinforcement learning
Art of the Problem explores the different paradigms of machine learning, including supervised, unsupervised, and reinforcement learning.
The root of intelligence is learning. Follow the progression of evolutionary, experiential, and abstract learning, forming the bedrock of intelligence. It provides insight into various learning paradigms including unsupervised learning, supervised learning, reinforcement learning, association learning, and the ingenuity of genetic algorithms. As part of the narrative, the essence of language and its role in advancing intelligence is explored. This is Part 2 of my enlightening AI/Deep Learning series, serving as a bridge to understanding modern AI frameworks like ChatGPT and GPT models. Embark on this intellectual journey to grasp how the lineage of learning has sculpted today's AI landscapeWhy it's here
2 people recommend thisWhat people say. Recommended as an engaging overview of the different paradigms of machine learning.
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u/britcruisein r/compsci • Recommends
In case you missed part 2 of Art of the Problem's AI series "The Nature of Machine Learning"
u/britcruisein r/compsci • Recommends
Art of the Problem just posted a video on Machine Learning
u/britcruisein r/compsci • Recommends
The Nature of Machine Learning (evolution, experience vs. abstract) - video by Art of the Problem
u/puppers90in r/compsci • Recommends
The Nature of Machine Learning (Part 2 in Art of the Problems new AI series)