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Supervised Machine Learning for Science

By Christoph Molnar

Supervised Machine Learning for Science Mathematics

Supervised Machine Learning for Science

By Christoph Molnar

0 - Default Title
Description
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 models 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, uncertainty quantification, causality, and many more desirable attributes. Yet, we already have all the puzzle pieces needed to improve machine learning, from incorporating domain knowledge and ensuring the representativeness of the training data 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.After the introduction, 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.
Product details
Binding:
Paperback
Number of Pages:
276
Release Date:
2024-10-31
Publication Date:
2024-10-31
Publisher:
Christoph Molnar
Languages:
Original: English
ISBN10:
3911578008
ISBN13:
9783911578004
GPSR Manufacturer Reference:
[email protected]
Weight:
404 g
Height:
152 cm
Width:
229 cm
Thickness:
15 cm
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