# Rust ML Meetup

Date: 26 November, 18:00 GMT
> []Updated to reflect correct time, timezone and date for the event
26 November, 18:00 GMT

Ricky Cannot speak due to holiday/schedule conflict, see Andraz for 3rd talk.

Talk title: Speed is a feature. Introducing Fwumious Wabbit

# Fwumious Wabbit:
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Fwumious Wabbit is a Rust-based implementation of logistic regression and field aware factorization machines.
It runs on pure CPU and achieves extreme throughput compared to other similar tools. High throughput allows for quick turn around in machine learning applied research. It can be used for hyperparameter optimization or feature and field selection and combination. It also has an on-line serving mode and is being actively used in production.
In this presentation, we'll present how extreme speed and throughput were achieved - using Rust strong code specialization capabilities and careful benchmarking and code-tuning.

## Andraz Tori
Is the Head of Recommendations and Data Science at Outbrain, Zemanta co-founder, tech enthusiast and also ex TV host

# Classical ML for Rust: `linfa`

Meet linfa - Rust's take on classical machine learning in the spirit of scikit-learn. Linfa's current maintainers will tell you about linfa's ambitious goals, its current state and the next steps forward. We'll also touch on how to implement classical ML algorithms in Rust and how you can be part of the journey.

## Paul Koerbitz

Paul is a software engineer with a PhD in financial mathematics. After spending ~10 years in various startups, he currently works for Google.

## Lorenz Schmidt

Lorenz has just finished his master studies and is now pursuing a doctoral program. He worked for companies on NLP and speech enhancement systems.

# Multimodal Pronunciation Assessment in Rust

This talk will cover Emotech's Multimodal Pronunciation Assessment system which uses both audio and visual information to work out the quality of an English students spoken pronunciation. This talk will cover some basic linguistics, the benefits of Rust, some of the existig ecosystem and the process of turning a python proof of concept into a production system.

## Daniel McKenna

Linkedin: www.linkedin.com/in/daniel-mckenna-2ba1a772
Github: https://github.com/xd009642

Daniel is a software engineer at Emotech, bringing machine learning to production with Rust. Before Emotech he spent 5 years working with C and C++ in aerospace and defence.