- Summary
- Preface
- 1 Introduction
- 2 Bare-Bones Supervised Machine Learning
- Justifying Machine Learning For Science
- 3 The Role of Prediction in Science
- 4 Justification to Use Machine Learning
- 5 Machine Learning and Other Scientific Goals: A Clash
- 6 Bare-Bones Machine Learning is Insufficient
- Integrating Machine Learning Into Science
- 7 Generalization
- 8 Domain Knowledge
- 9 Interpretability
- 10 Causality
- 11 Robustness
- 12 Uncertainty
- 13 Reproducibility
- 14 Reporting
- 15 The Future of Science in the Age of Machine Learning
- Acknowledgments
- Citing this Book
- About the Authors
- References
Supervised Machine Learning for Science
How to stop worrying and love your black box
This book explores supervised machine learning for scientific research, addressing its limitations in interpretability, causality, and uncertainty quantification. By unifying philosophical justification with practical solutions, it provides a roadmap for turning machine learning into a rigorous tool for science.
The authors are letting you choose the price you pay for this book!
This book explores supervised machine learning for scientific research, addressing its limitations in interpretability, causality, and uncertainty quantification. By unifying philosophical justification with practical solutions, it provides a roadmap for turning machine learning into a rigorous tool for science.
PDF
EPUB
237
Pages
About
About the Book
Machine learning has revolutionized science, from folding proteins and predicting tornadoes to studying human nature. While science has always had an intimate relationship with prediction, machine learning amplified this focus. But can this hyper-focus on prediction be justified? Can a machine learning model be part of a scientific model? Or are we on the wrong track?
In this book, we explore and justify supervised machine learning in science. However, a naive application of supervised learning won’t get you far because machine learning in raw form is unsuitable for science. After all, it lacks interpretability, causality, uncertainty quantification, and many more desirable attributes. Yet, we already have all the puzzle pieces needed to improve machine learning, from incorporating domain knowledge to creating robust, interpretable, and causal models. The problem is that the solutions are scattered everywhere.
In this book, we bring together the philosophical justification and the solutions that make supervised machine learning a powerful tool for science.
The book consists of two parts:
- Part 1 justifies the use of machine learning in science.
- Part 2 discusses how to integrate machine learning into science.
Price
Pick Your Price...
Minimum price
$25.00
$29.00
You pay
$29.00Authors earn
$23.20Author
About the Authors
Christoph Molnar
On a mission to make algorithms more interpretable by combining machine learning and statistics.
Episode 120
An Interview with Christoph Molnar
Timo Freiesleben
Philosopher and machine learning researcher
Contents
Table of Contents
The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.
You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!
So, there's no reason not to click the Add to Cart button, is there?
See full terms...
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earned over $14 million writing, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.