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SkillsCast

Tutorial: Bayesian Decision Making in The Face of Uncertainty

11th September 2019 in London at CodeNode

There are 20 other SkillsCasts available from ProgNET London 2019

SkillsCast coming soon.

When you make a decision, in an ideal world, you will have gathered all the pertinent facts and you will weigh them to come to a logical conclusion.

Sadly, you do not live in a perfect world and sometimes you will be forced to make a decision where there is a large degree of uncertainty. In this tutorial, Gary will teach you how to apply the Bayesian principles of machine learning in order to arrive at the best possible decision, by calculating the probability of events happening in an uncertain world. He’ll concentrate on decisions like, should you bet on Tiger Woods to win the Open? Is the mortgage rate likely to go up or down in the next quarter, and should you learn Go, or Rust?

Tutorial Prerequisites

The labs can be completed using either Excel or Python notebook, either via Anaconda installed locally, or a cloud based service such as Azure Notebooks. Attendees should come with/install their preference.

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Tutorial: Bayesian Decision Making in The Face of Uncertainty

Gary Short

Gary Short is a freelance data scientist. He specialises in machine learning and predictive analytics on the Azure Platform, but has an interest in cloud scale analytics in all forms, especially computational linguistics and social network analysis.

SkillsCast

SkillsCast coming soon.

When you make a decision, in an ideal world, you will have gathered all the pertinent facts and you will weigh them to come to a logical conclusion.

Sadly, you do not live in a perfect world and sometimes you will be forced to make a decision where there is a large degree of uncertainty. In this tutorial, Gary will teach you how to apply the Bayesian principles of machine learning in order to arrive at the best possible decision, by calculating the probability of events happening in an uncertain world. He’ll concentrate on decisions like, should you bet on Tiger Woods to win the Open? Is the mortgage rate likely to go up or down in the next quarter, and should you learn Go, or Rust?

Tutorial Prerequisites

The labs can be completed using either Excel or Python notebook, either via Anaconda installed locally, or a cloud based service such as Azure Notebooks. Attendees should come with/install their preference.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Tutorial: Bayesian Decision Making in The Face of Uncertainty

Gary Short

Gary Short is a freelance data scientist. He specialises in machine learning and predictive analytics on the Azure Platform, but has an interest in cloud scale analytics in all forms, especially computational linguistics and social network analysis.