Browse all recommendations

This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.

Andrej Karpathy · 2015-10-25 · accessed 2026-10-02

article · Original written source

The concluding learning-resources passage directs advanced readers to the book then being written. This 2015 guidance predates the final 2016 edition; it does not claim he endorsed a later revision or every book claim.

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.

This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.

Andrej Karpathy · 2015-10-25 · accessed 2026-10-05

article · Original written source

The conclusion directs beginners to Michael Nielsen’s tutorials and links neuralnetworksanddeeplearning.com. Nielsen’s own companion repository identifies the linked work as his book Neural Networks and Deep Learning. Recommendation wording here is a paraphrase, not a direct quote.

This 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.

We 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.

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).

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.

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.

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.

We captured the recommendation language from the source.

Manning · undated publisher endorsement · accessed 2026-10-05

article · Publisher-hosted attributed endorsement

Manning attributes reader-facing guidance to Chip Huyen in its endorsements for this 2024 book.

This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.

Dive into Deep Learning authors · undated author-hosted endorsement · accessed 2026-10-05

article · Author-hosted attributed endorsement

The official book README attributes to Jensen Huang a reader-facing endorsement saying the book deserves attention from anyone wanting to understand deep learning.

We captured the recommendation language from the source.

Mathematics for Machine Learning authors · undated · accessed 2026-10-05

article · Author-hosted attributed endorsement

Official authors companion site Testimonies attributes explicit reader recommendation to Pieter Abbeel.

We captured the recommendation language from the source.

Kevin P. Murphy · undated · accessed 2026-10-05

article · Author-hosted attributed endorsement

Attributed original endorsement explicitly recommends sequel to graduate CS students.

This source documents the book relationship, but the displayed text is a catalog summary rather than a verbatim quote.

John Carmack · 2023-12-13 · accessed 2026-10-01

social · Own public reading recommendation

Carmack’s post links to the author’s free-book page: https://fleuret.org/francois/lbdl.html. The author warns about unauthorized commercial copies. Later updates are not asserted as Carmack’s endorsed edition.