SkillsCast

Snap Machine Learning

4th June 2019 in London at Skills Matter

There are 2 other SkillsCasts available from Snap Machine Learning

This evening session is focused upon Snap Machine Learning (Snap ML) and applications within finance. Snap ML is a state of the art library for accelerated machine learning, developed by IBM Research to remove training time as the bottleneck. The library is a perfect fit for financial big data use cases involving transactions, customers and bills.

Snap ML offers:
- GPU-acceleration of the most popular machine learning algorithms such as logistic regression, linear regression, decision trees and random forests.
- Distributed training on massive datasets that usually exceed memory capacity of a single machine.
- Optimised for working with spare datasets.

We're excited to be joined by the Snap ML research team who will present and demo a finance use-case. We will also provide a brief demo of how to access Snap ML from your own environment.

Agenda as follows:
19:00 - 19:10 - Luis Armenta Garza, IBM Systems - 'Introduction to Snap ML'
19:10 - 20:00 - Haris Pozidis, IBM Research - 'Snap ML: Accelerating Machine Learning for Business Applications'
20:00 - 20:30 - Giorgos Aniftos, IBM Systems - 'Accessing Snap ML'

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Thanks to our sponsors

Snap Machine Learning

Luis Armenta Garza

WW Principal Product Manager, Machine Learning

SkillsCast

This evening session is focused upon Snap Machine Learning (Snap ML) and applications within finance. Snap ML is a state of the art library for accelerated machine learning, developed by IBM Research to remove training time as the bottleneck. The library is a perfect fit for financial big data use cases involving transactions, customers and bills.

Snap ML offers:
- GPU-acceleration of the most popular machine learning algorithms such as logistic regression, linear regression, decision trees and random forests.
- Distributed training on massive datasets that usually exceed memory capacity of a single machine.
- Optimised for working with spare datasets.

We're excited to be joined by the Snap ML research team who will present and demo a finance use-case. We will also provide a brief demo of how to access Snap ML from your own environment.

Agenda as follows:
19:00 - 19:10 - Luis Armenta Garza, IBM Systems - 'Introduction to Snap ML'
19:10 - 20:00 - Haris Pozidis, IBM Research - 'Snap ML: Accelerating Machine Learning for Business Applications'
20:00 - 20:30 - Giorgos Aniftos, IBM Systems - 'Accessing Snap ML'

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Snap Machine Learning

Luis Armenta Garza

WW Principal Product Manager, Machine Learning