From Wikipedia, the free encyclopedia

Automated machine learning (AutoML) encompasses techniques for automating the design of machine learning pipelines, removing some of the usual trial and error process. [1]

Preparing data

As of 2019, AutoML tools do not have very advanced data preprocessing capabilities, mostly relying on users to properly format data in advance. [2]

Creating models

Hyperparameter optimization

Optimizing hyperparameters

Meta-learning

Neural architecture search

Interpreting results

See also

References

  1. ^ Hutter, Kotthoff & Vanschoren 2019, p. ix.
  2. ^ Truong et al.
  • Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (2019). Automated Machine Learning : Methods, Systems, Challenges. Springer Nature. doi: 10.1007/978-3-030-05318-5. ISBN  978-3-030-05318-5. Retrieved 2020-09-30.
  • Truong, Anh; Walters, Austin; Goodsitt, Jeremy; Hines, Keegan; Bruss, C. Bayan; Farivar, Reza (November 2019). "Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools". 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). pp. 1471–1479. doi: 10.1109/ICTAI.2019.00209.
From Wikipedia, the free encyclopedia

Automated machine learning (AutoML) encompasses techniques for automating the design of machine learning pipelines, removing some of the usual trial and error process. [1]

Preparing data

As of 2019, AutoML tools do not have very advanced data preprocessing capabilities, mostly relying on users to properly format data in advance. [2]

Creating models

Hyperparameter optimization

Optimizing hyperparameters

Meta-learning

Neural architecture search

Interpreting results

See also

References

  1. ^ Hutter, Kotthoff & Vanschoren 2019, p. ix.
  2. ^ Truong et al.
  • Hutter, Frank; Kotthoff, Lars; Vanschoren, Joaquin (2019). Automated Machine Learning : Methods, Systems, Challenges. Springer Nature. doi: 10.1007/978-3-030-05318-5. ISBN  978-3-030-05318-5. Retrieved 2020-09-30.
  • Truong, Anh; Walters, Austin; Goodsitt, Jeremy; Hines, Keegan; Bruss, C. Bayan; Farivar, Reza (November 2019). "Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools". 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). pp. 1471–1479. doi: 10.1109/ICTAI.2019.00209.

Videos

Youtube | Vimeo | Bing

Websites

Google | Yahoo | Bing

Encyclopedia

Google | Yahoo | Bing

Facebook