MachineLearning
ThoughtStorms Wiki
More or less most ArtificialIntelligence these days is done through Machine Learning. Ie. throwing huge data-sets at number crunching algorithms. And getting the machine to fit patterns to it.
- The Mechanics of Machine Learning book : https://mlbook.explained.ai/
- NeuralNetworks are the most common example. See Connectionism for a bit more philosophical stuff on them.
- Transformers and LanguageModels are the new hotness
- SupportVectorMachines and other statistical methods
- Even GeneticAlgorithms are a kind of "learning" but with a different metaphor.
- Need Datasets
- ProjectEuclid seems to be philosophical.
- ExplainableAI is a challenge
Machine learning efficiency is outpacing MooresLaw
Backlinks (25 items)
- AIPainting
- AdaptiveOscillator
- ArtificialIntelligence
- Aspinity
- ClojureMachineLearning
- Connectionism
- Datasets
- Diffusers
- DigitalDivide
- ExplainableAI
- IntelligenceAtScale
- JuPyter
- LanguagesForAI
- LearningBackprop
- MLEBench
- MojoLanguage
- PhilosophyOfScience
- PythonCard
- RLHF
- ReinforcementLearningFromGames
- TensorFlow
- Transformers
- WeightsAndBiases
- WorldThree