Machine Learning Course - 14. Ensembles 1: Bagging & Random Forests

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A full university-level machine learning course - for free. New lectures every week.

Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems.

This lecture covers: Ensembles, the Bias / Variance challenge, bagging, bootstrap sampling, and Random Forests.

  1. Geoff Hulten
  2. machine learning engineer
  3. machine learning course
  4. learn machine learning
  5. machine learning lecture
  6. machine learning career
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Комментарии
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We are fortunate that you have started this channel, really an awesome way to explain, the best part is learning from someone who is already working on one of the best company and its product i.e. google map :-) thanks again for such lovely videos.

mukund
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Dr. Geof Hulten thanks for great lecture, Dr quick question, can you suggest any website or source, that publish recent machine learning algorithms (specially boosting and bagging )....

SaddamHussain-qtcm
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Bard claims that random forests are still being used

MarcusAureliusSeneca