Imperial College London

DrAntoineCully

Faculty of EngineeringDepartment of Computing

Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 8204a.cully Website

 
 
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Location

 

354ACE ExtensionSouth Kensington Campus

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Summary

 

Introduction to Machine Learning (Term 2) - COMP96035

Aims

This module aims to provide students with a fundamental understanding of core machine learning ideas and concepts. It introduces to students different machine learning problems and basic algorithms used to address these problems. The module will cover fundamental machine learning knowledge required to tackle more advanced, specialised modules.

Role

Course Leader

Introduction to Machine Learning (Term 1) - COMP97101

Aims

Machine learning aims to automatically create prediction models and make decisions by leveraging data. The current applications of machine learning range from speech recognition to autonomous cars. New applications continue to appear every day. This Introduction to Machine Learning module aims to provide an overview of the different types of problems that exist in machine learning and the basic algorithms used to address them. In particular, this module covers the fundamental knowledge required to comprehend the advanced methods needed for specialised modules.

Role

Course Leader

Introduction to Machine Learning (Term 1) - COMP97151

Aims

Machine learning aims to automatically create prediction models and make decisions by leveraging data. The current applications of machine learning range from speech recognition to autonomous cars. New applications continue to appear every day. This Introduction to Machine Learning module aims to provide an overview of the different types of problems that exist in machine learning and the basic algorithms used to address them. In particular, this module covers the fundamental knowledge required to comprehend the advanced methods needed for specialised modules.

Role

Course Leader

Introduction to Machine Learning (Term 1) - COMP96045

Aims

Machine learning aims to automatically create prediction models and make decisions by leveraging data. The current applications of machine learning range from speech recognition to autonomous cars. New applications continue to appear every day. This Introduction to Machine Learning module aims to provide an overview of the different types of problems that exist in machine learning and the basic algorithms used to address them. In particular, this module covers the fundamental knowledge required to comprehend the advanced methods needed for specialised modules.

Role

Course Leader

Introduction to Machine Learning (Term 2) - COMP96034

Aims

This module aims to provide students with a fundamental understanding of core machine learning ideas and concepts. It introduces to students different machine learning problems and basic algorithms used to address these problems. The module will cover fundamental machine learning knowledge required to tackle more advanced, specialised modules.

Role

Course Leader