From The Greats
Build a Large Language Model (From Scratch)
A hands-on guide to building a GPT-style language model, from tokenization and attention through training and fine-tuning.
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Sebastian Raschka
AI and machine learning researcher
Machine learning researcher and LLM research engineer; formerly a statistics professor at the University of Wisconsin-Madison.
Recommendations sourcedAuthorship kept separateBooks about kept separate
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0About
7Recommended books
Books by Sebastian Raschka
Books written by Sebastian Raschka. Authorship is shown separately from recommendations.
Books Sebastian Raschka recommends, documented so far
Each book appears once; every source record remains linked to its evidence and the canonical book profile.
Introduction to Data Mining
I can highly recommend the following book written by one of my former professors:
Historical pre-2016 advice; source explicitly identifies first edition. Do not imply recommendation of later edition with additional coauthor.
Exact quote verified · Recommended
Open source
Evidence details
How would your curriculum for a machine learning beginner look like?We captured the recommendation language from the source.
Sebastian Raschka · undated · accessed 2026-10-05
article · Historical personal study-plan recommendations
Original personal beginner curriculum explicitly recommends the following item, Introduction to Data Mining (First Edition, 2005).
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The Elements of Statistical Learning
Documented citation: Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
Historical personal study plan. Publisher confirms Hastie/Tibshirani/Friedman secondedition2009; no newer edition asserted.
Documented citation · Recommended
Open source
Evidence details
How would your curriculum for a machine learning beginner look like?This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.
Sebastian Raschka · undated · accessed 2026-10-05
article · Historical personal study-plan recommendations
Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
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Pattern Recognition and Machine Learning
Documented citation: Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
Undated historical pre-2016 study plan; publisher verifies first edition2006, sole author Christopher M. Bishop.
Documented citation · Recommended
Open source
Evidence details
How would your curriculum for a machine learning beginner look like?This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.
Sebastian Raschka · undated · accessed 2026-10-05
article · Historical personal study-plan recommendations
Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
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Pattern Classification
Documented citation: Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
Historical study-plan recommendation. The source citation lists 2012; the publisher dates the second edition to 2000. No edition/year is asserted for this work-level catalog record.
Documented citation · Recommended
Open source
Evidence details
How would your curriculum for a machine learning beginner look like?This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.
Sebastian Raschka · undated · accessed 2026-10-05
article · Historical personal study-plan recommendations
Raschka suggests deepening statistical learning knowledge using one of three named books in a personal reading/study plan. This is an explicit reading-list context, not mere course bibliography.
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Deep Learning
Documented citation: Explicitly recommends the upcoming Deep Learning manuscript after ML/statistical foundations.
Existing catalog work. Recommendation predates 2016 publication; do not assert later-edition endorsement.
Documented citation · Recommended
Open source
Evidence details
How would your curriculum for a machine learning beginner look like?This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.
Sebastian Raschka · undated · accessed 2026-10-05
article · Historical personal study-plan recommendations
Explicitly recommends the upcoming Deep Learning manuscript after ML/statistical foundations.
Interpretable Machine Learning
I recommend reading the book itself if you want to learn about machine learning and interpretability.
Historical 2020 print and then-current online book; source notes evolving contents. Do not describe current online edition as the endorsed edition.
Exact quote verified · Recommended
Open source
Evidence details
Interpretable Machine Learning book reviewWe captured the recommendation language from the source.
Sebastian Raschka · 2020-08-26 · accessed 2026-10-05
article · Personal book review
Original independent review explicitly recommends the book; declares no author affiliation or review copy.
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Deep Learning with PyTorch
Documented citation: Original independent review says beginners may start with this book and experts may find chapter3 worthwhile; positive reader-facing verdict, without payment/review copy.
2020 book strongly computer vision focused, no transformers/LLMs; requires Python; source says introductory for experienced practitioners.
Documented citation · Recommended
Open source
Evidence details
Deep Learning with PyTorch book reviewThis source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.
Sebastian Raschka · 2021-01-21 · accessed 2026-10-05
article · Personal book review
Original independent review says beginners may start with this book and experts may find chapter3 worthwhile; positive reader-facing verdict, without payment/review copy.
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