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SkillsCast

From PhD to life: using science to get a job in data

29th April 2017 in London at CodeNode

There are 19 other SkillsCasts available from Data Science Festival 2017

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The concepts and methods of mathematical programming underlie many machine learning algorithms, and yet remain relatively unknown outside the operational research community. In this talk you will explore the standard-form linear and quadratic programmes, after a brief overview of optimisation theory. You will then learn how to formulate the well-known linear regression problem (and the lesser-known robust regression problem) as mathematical programmes, and be presented algorithms to solve them.

Whilst the techniques covered are completely general, the talk concludes with some applications from financial planning and portfolio management. No previous knowledge of mathematical programming is required, but please note that this talk contains formulae (and Python code).

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From PhD to life: using science to get a job in data

Gianluca Campanella

Gianluca is Senior Machine Learning Researcher at Longshot Systems, where he develops novel analytical methods for the sports betting industry. He was previously based at Imperial College London, where he currently holds an honorary Research Assistant position.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

The concepts and methods of mathematical programming underlie many machine learning algorithms, and yet remain relatively unknown outside the operational research community. In this talk you will explore the standard-form linear and quadratic programmes, after a brief overview of optimisation theory. You will then learn how to formulate the well-known linear regression problem (and the lesser-known robust regression problem) as mathematical programmes, and be presented algorithms to solve them.

Whilst the techniques covered are completely general, the talk concludes with some applications from financial planning and portfolio management. No previous knowledge of mathematical programming is required, but please note that this talk contains formulae (and Python code).

YOU MAY ALSO LIKE:

About the Speaker

From PhD to life: using science to get a job in data

Gianluca Campanella

Gianluca is Senior Machine Learning Researcher at Longshot Systems, where he develops novel analytical methods for the sports betting industry. He was previously based at Imperial College London, where he currently holds an honorary Research Assistant position.

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