AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
2min snip
"AI should NOT be regulated at all!" - Prof. Pedro Domingos
Machine Learning Street Talk (MLST)
Symbolic Learning: The Foundation of AI Insights
Symbolic AI is distinct from knowledge engineering and expert systems, encompassing a broader category called symbolic machine learning, which has roots dating back to the 1970s and earlier. Inductive logic programming stands as a crucial aspect of this field, showcasing the evolution of symbolic approaches. Key components, such as inverse deduction, trace back to historical figures like Jevons, revealing the long-standing relevance of these concepts. Within the machine learning community, conferences like NeurIPS and ICML reflect the divide between connectionist and symbolic paradigms. All learning, regardless of method, requires prior knowledge, as highlighted by the no free lunch theorem, emphasizing that success hinges on the type and amount of prior knowledge incorporated into algorithms. Different tribes in AI, such as Bayesians, connectionists, and symbolists, vary based on the models or knowledge bases they utilize, with symbolists often being more explicit about their biases and the rules governing learned outcomes.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode