Feb

Tech Tutors: How do I launch machine learning projects using MLOps?

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Our next tech tutor is Edge Impulse's Daniel Situnayake. Join us at 4pm GMT | 11am EST on Thursday, 4th Feb.

About this Event

Our eighth WILDLABS Tech Tutor of Season 2 is Daniel Situnayake, who will tackle the question: How do I launch machine learning projects using MLOps? This episode will stream at 11 AM EST/ 4 PM GMT on Thursday, February 4th.

About the Series

WILDLABS Tech Tutors launched in 2020 with the goal of bringing #tech4wildlife experts directly to you. Brought to you with the support of Microsoft AI for Earth, this series is all about providing you with the bite-sized, easy-to-understand building blocks you'll need to broaden your conservation technology horizons, enhance your research, or launch a new collaborative project. Our new season will take you even deeper into those tricky "how do I do that?" questions of conservation tech, we hope you'll discover new perspectives and ideas to bring to your own #tech4wildlife work.

Taking place every Thursday, each Tech Tutor will present a 30 minute tutorial guiding you through an aspect of conservation tech, followed by a 30 minute live Q&A session with the audience.

Can't make it? You can find every tutorial after it airs on our Youtube channel.

Meet your Tutor: Daniel Situnayake, Edge Impulse

Dan leads embedded machine learning engineering at Edge Impulse, a platform that allows any developer to train machine learning models that run on tiny, low-power devices. He's the author of the O'Reilly book TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers, leads embedded machine learning development at Edge Impulse Inc., and helps organize the global TinyML meetup community. He has previously worked on the TensorFlow team at Google, as CEO of Tiny Farms Inc., and as a lecturer in Automatic Identification and Data Capture technologies at Birmingham City University.

We asked Dan...

What will I learn in this episode?

You'll learn the concept of MLOps and why it is so important to the success of machine learning projects. You'll learn how to apply it to your own work using tools like Edge Impulse, an MLOps platform for training embedded machine learning models.

How can I learn more about this subject?

Google have an extremely detailed breakdown of the concept of MLOps here.
To learn more about Edge Impulse, visit edgeimpulse.com.
Check out my previous WILDLABS Tech Tutors episode 'How do I train my first Machine Learning model?' for an end to end workshop on training a conservation model using Edge Impulse.

If I want to take the next step, where should I start?

I'd recommend trying some of the tutorials in the Edge Impulse documentation which will walk you through the process of training a model:

What advice do you have for a complete beginner in this subject?

Contrary to popular belief, you don't need to know advanced mathematics to use machine learning. Unless you're a researcher developing new machine learning algorithms, you're absolutely fine with high-school level maths (and you won't even need that very often). The key to learning is to build projects and look up what you need to know along the way. End-to-end tools like Edge Impulse help a lot with this since they abstract away the technology —meaning you can focus on the problem you are trying to solve.