Introductory Machine Learning for non STEM students.
Javier García-AlgarraPublished in: Teaching ML (2020)
Keyphrases
- machine learning
- programming course
- introductory computer science
- computer science
- learning experience
- student learning
- learning outcomes
- learning environment
- learning process
- higher education
- computer science curriculum
- computer science students
- electrical engineering
- learning styles
- learning activities
- intelligent tutoring systems
- distance learning
- e learning
- computer programming
- decision trees
- learning algorithm
- students learning
- machine learning algorithms
- active learning
- text mining
- machine learning methods
- information extraction
- online course
- data mining
- distance education
- artificial intelligence
- university students
- grounded theory
- university level
- collaborative learning
- feature selection
- high school students
- support vector machine
- natural language processing
- computational intelligence
- learning systems
- learning tasks
- control group
- college students
- secondary school
- learning analytics
- supervised learning
- educational data mining
- learning community
- high school
- knowledge acquisition
- computer supported collaborative learning
- mobile learning
- subject matter
- problem based learning
- cooperative learning
- learning tools
- undergraduate students
- teaching materials