Elac5e9mvl37zqozs8ei
SkillsCast

Machine Learning - Do Androids Dream of Electric Sheep?

4th December 2017 in London at CodeNode

There are 23 other SkillsCasts available from Clojure eXchange 2017

Please log in to watch this conference skillscast.

670506739 640

Machine Learning is in vogue. There are lots of different ways of implementing Machine Learning such as Decision Trees, Probability Theory and Neural Networks. Neural Networks are the most mystifying.

During this presentation, you will discover investigations into building your own neural network. You will begin exploring the requirements needed to build the Mathematical model. Solving the model, you will learn the Mathematical functions necessary to create a usable Clojure library and evaluate your neural network.

YOU MAY ALSO LIKE:

Thanks to our sponsors

Machine Learning - Do Androids Dream of Electric Sheep?

Rickesh Bedia

Rickesh is a Mathematics Graduate from Warwick University. After Graduation, he was encouraged to learn Clojure and joined JUXT. This gave him a platform to perform Clojure and Machine Learning in a professional environment.

SkillsCast

Please log in to watch this conference skillscast.

670506739 640

Machine Learning is in vogue. There are lots of different ways of implementing Machine Learning such as Decision Trees, Probability Theory and Neural Networks. Neural Networks are the most mystifying.

During this presentation, you will discover investigations into building your own neural network. You will begin exploring the requirements needed to build the Mathematical model. Solving the model, you will learn the Mathematical functions necessary to create a usable Clojure library and evaluate your neural network.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Machine Learning - Do Androids Dream of Electric Sheep?

Rickesh Bedia

Rickesh is a Mathematics Graduate from Warwick University. After Graduation, he was encouraged to learn Clojure and joined JUXT. This gave him a platform to perform Clojure and Machine Learning in a professional environment.

Photos