Quantifying the Carbon Emissions of Machine Learning.
Alexandre LacosteAlexandra LuccioniVictor SchmidtThomas DandresPublished in: CoRR (2019)
Keyphrases
- machine learning
- carbon dioxide
- machine learning approaches
- global warming
- machine learning methods
- learning tasks
- computer vision
- real time
- support vector machine
- pattern recognition
- machine learning and data mining
- inductive learning
- computational biology
- natural language processing
- decision trees
- data mining
- data analysis
- reinforcement learning
- training data
- information extraction
- computational intelligence
- climate change
- model selection
- learning algorithm
- machine learning algorithms
- learning systems
- data center
- statistical methods
- greenhouse gas emissions
- text classification
- power plant
- learning classifier systems
- statistical learning
- energy consumption
- unsupervised learning
- knowledge discovery
- knowledge representation
- active learning
- knowledge base
- artificial intelligence
- databases
- data sets