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Louis Dorard
Louis Dorard
Author of the Machine Learning Canvas

Want to make an impact with Machine Learning?

Enter your email address to get a free copy of my book, Bootstrapping Machine Learning ($49 on Amazon).

 
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You might have seen me there...

 

AUthor, keynote speaker, ML coach

Hi! I’m Louis, as an independent consultant and ML specialist, I help corporations and startups integrate ML into their products. I have held workshops at major companies such as Amazon, Airbus, Deloitte, EDF, Intel, Konica Minolta, and I have coached smaller businesses and growing startups in their usage of ML. I’ve been working in ML for more than 10 years and I hold a PhD from University College London.

I’m the author of Bootstrapping Machine Learning and of the Machine Learning Canvas. I’m also General Chair of the PAPIs.io international conferences, Adjunct Teaching Fellow at UCL School of Management, and board member at France is AI.

Keynote

1 or 2-hour presentation at your event, to demystify Machine Learning and show how to bridge the gap with business.

Workshop

1 to 4-day workshop delivered for your organization, to learn ML fundamentals and how to make it work for you.

Coaching

Customized help and assistance for your ML projects, direct access to me via dedicated chat channel, email, and weekly calls.

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Upcoming events

Featured
[Workshop] Fast track to ML
Jul 15
London
[Workshop] Fast track to ML
London

In this workshop for developers, you'll gain an understanding of the possibilities and limitations of Machine Learning, and how to put it to work on real cases. You'll learn to prepare data, to create ML models, to evaluate them in your domain of application, to optimize them, and to deploy them. Adopt a top-down, results-first and experimentation-driven approach, and focus on practical techniques applied to concrete examples.

Register now!

London
[Workshop] Deep Learning Kickstart
Jul 22
Paris
[Workshop] Deep Learning Kickstart
Paris

This technical workshop for beginners in Deep Learning will teach you how single and multi-layered Neural Networks are trained on data. You’ll learn how to create, evaluate and optimize them with Keras. We’ll explain how Convolutional Neural Networks work, and we’ll use them to tackle an image classification challenge on Kaggle. Finally, we’ll introduce the concept of Transfer Learning, and we’ll put it to work on the same challenge, to speed up training and increase accuracy.

Register now!

Paris

what they say about me

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