Chapter Thirteen - Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT).
Ambika ParanthamanPublished in: Adv. Comput. (2020)
Keyphrases
- machine learning
- learning algorithm
- machine learning algorithms
- deep architectures
- learning tasks
- deep learning
- learning problems
- active learning
- supervised learning
- semi supervised learning
- machine learning methods
- transfer learning
- pattern recognition
- inductive bias
- learning paradigms
- feature selection
- data mining
- decision trees
- explanation based learning
- artificial intelligence
- text mining
- text classification
- chapter presents
- learning models
- bias variance analysis
- industrial applications
- physical world
- hypothesis space
- mobile devices
- web services
- training data
- database design
- back propagation
- computer science
- cd rom
- case study
- learning scheme
- labeled data
- unsupervised learning
- natural language processing
- data analysis
- learning process