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Louis Dorard
Louis Dorard
Author of the Machine Learning Canvas
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I recommend this book to anyone looking to start using Machine Learning quickly and effectively.
— Jason Brownlee, founder of MachineLeaningMastery.com
Louis presents ML in a way that is both extremely approachable and directly applicable—a winning combo.
— Guillaume Bazouin, Project Coordinator - Analyst at Stanford
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Buy paperback

$49 on Amazon

 

What you will learn

Example ML use cases

Improve users' experience by observing behavior and predicting needs/interests
Exploit the value of customer data: predict churn, upsell opportunities, revenue, and optimize offerings
Save time by automatically categorizing documents and prioritizing tasks
… and more covered in the book!

Start your own ML project

The book teaches you what makes ML work and what are the limitations, so you’ll be able to develop your own original ideas of ML applications. You’ll learn how to incorporate domain knowledge into your ML system, and how to create value from predictions.

Use ML-as-a-Service

While others are investing time and money to build their own ML algorithms and infrastructure, you can be much quicker by adopting Predictive APIs and ML-as-a-Service. Bootstrapping Machine Learning teaches you how, so, you can focus on the most critical aspects for the success of your project: preparing data and acting on predictions.

 
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Download for free
($49 on Amazon)

Join 2,500+ readers and get the book in PDF, ePub and Mobi formats — exclusively here!

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About the author

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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, 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.

 
 

Reviews from readers

Here’s a selection of reviews — you can find more on Amazon and on Goodreads.

 
 
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Louis presents machine learning in a way that is both extremely approachable and directly applicable — a winning combo.
— Guillaume Bazouin, Project Coordinator - Analyst at Stanford
 
 
Our clients have been asking for a book like this for some time. We are now ordering copies in bulk for them!
— Francisco J Martin, CEO at BigML Inc
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This book is very good. I love the formalization of ML problems that you provide. I wish I’d read this earlier in my life!
— David Bruant, Web Developer
 
 
This is an ideal book for business professionals who want to understand what the heck is machine learning.
— Ali Syed, CEO of Persontyle, Data Science Centre of Excellence
 
 
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The book’s case study is really awesome! You follow Louis’s reasoning on a concrete example that you can relate to.
— JB Goulain, CTO at Neocamino