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Everything about Automated machine learning
Process of automating the application of machine learning
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination of automation and ML. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Automated machine learningA 5-minute orientation
- Skim a recent paper: Automated machine learning: past, present and futureInfluential work since 2022
- Pick up a classic book: Learning algorithmsThe most-reprinted book on the subject
- Read the landmark paper: Machine learning in automated text categorizationCited 5,206 times
- Go sideways: Auto-WEKAA closely related topic
- Go sideways: Frank HutterA closely related topic
📖 Definitions
Noun A field of study concerned with the design and development of algorithms and techniques of automating the end-to-end process of machine learning and artificial intelligence.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Machine learning in automated text categorization
Automated machine learning for deep learning based malware detection
Techniques for Automated Machine Learning
Automated Ensemble Multimodal Machine Learning for Healthcare
GAMA: Genetic Automated Machine learning Assistant
Galaxy morphology classification using automated machine learning
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
Automated Essay Grading using Machine Learning Algorithm
🆕 Influential since 2022
📚 Books worth reading
Learning algorithmsP. Mars, Phil Mars · 1996
Machine learning for hackersDrew Conway · 2012
Machine Learning in Medical ImagingFei Wang · 2010
Approaches to Probabilistic Model Learning for Mobile Manipulation RobotsJürgen Sturm · 2013
Machine Learning in Medical ImagingKenji Suzuki · 2011
Discovery ScienceJean-Gabriel Ganascia · 2012
Exploration of visual dataXiang Sean Zhou, Sean Xiang Zhou · 2003
Dynamic visionShaogang Gong · 2000
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Auto-WEKA Auto-WEKA is an automated machine learning system based on Weka by Chris Thornton, Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown. An extended version…
- Frank Hutter Frank Hutter is a German computer scientist recognized for his contributions to machine learning, particularly in the areas of automated machine learning…
- Hyperparameter optimization In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparamete…
- Marius Lindauer Marius Lindauer (born December 25, 1985, in Berlin, Germany) is a German computer scientist and professor of machine learning at the institute of artificial…
- Outline of machine learning The following outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence…
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