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SkillsCast

Win Machine Learning (Kaggle) Competitions using StackNet with Marios Michailidis!

3rd October 2017 in London at CodeNode

This SkillsCast was filmed at Win Machine Learning (Kaggle) Competitions using StackNet with Marios Michailidis!

Are you interested in learning more about stacking your machine learning models? Come and join us for this months InfiniteConf Bytes with Marios Michailidis!

Stacking (or stacked generalization) is a technique that allows the data scientist to combine many different machine learning models in order to make better predictions. This technique has been used to win many machine learning competitions (in kaggle).

This talk will present the basic elements of stacking and a generalised framework that uses it called StackNet. StackNet is a computational, scalable and analytical framework that resembles a feedforward neural network and uses stacking in multiple levels to improve the accuracy of predictions. StackNet will be demonstrated through practical examples with tips on how to make even stronger models.

Are you ready for Infiniteconf 2017 - the conference on Big Data, Data Science and Engineering? Get your tickets now!

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Thanks to our sponsors

Win Machine Learning (Kaggle) Competitions using StackNet with Marios Michailidis!

SkillsCast

Are you interested in learning more about stacking your machine learning models? Come and join us for this months InfiniteConf Bytes with Marios Michailidis!

Stacking (or stacked generalization) is a technique that allows the data scientist to combine many different machine learning models in order to make better predictions. This technique has been used to win many machine learning competitions (in kaggle).

This talk will present the basic elements of stacking and a generalised framework that uses it called StackNet. StackNet is a computational, scalable and analytical framework that resembles a feedforward neural network and uses stacking in multiple levels to improve the accuracy of predictions. StackNet will be demonstrated through practical examples with tips on how to make even stronger models.

Are you ready for Infiniteconf 2017 - the conference on Big Data, Data Science and Engineering? Get your tickets now!

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Win Machine Learning (Kaggle) Competitions using StackNet with Marios Michailidis!