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desertcart.co.jp: Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems : Géron, Aurélien: Foreign Language Books Review: Great read! - plenty of detail on all topics. Quite heavy and bulky so try not to have to take it places too much to avoid damaging it or your back lol Review: One of best data science textbooks out there. - After going through many different data-science textbooks, I've encountered two that are by far the most useful. One is "Deep Learning with Python" by François Chollet (the creator of Keras). The other is this work, by Aurélien Géron. This work in particular is extremely well-written. It is very clear, well-organized, and the author has made a strong effort to keep up with the latest developments in the field and appropriately update the material. The corresponding notebooks on GitHub are of similar high-quality. As a small note, my partner has the Japanese version of this book (2nd edition), and can attest that the translation quality is very good.
| Amazon Bestseller | #19,667 in Foreign Language Books ( See Top 100 in Foreign Language Books ) #10 in Pattern Recognition Algorithms #18 in Natural Language Processing Software #30 in Computer Neural Networks |
| Customer Reviews | 4.7 4.7 out of 5 stars (847) |
| Dimensions | 7.25 x 2 x 9.5 inches |
| Edition | 3rd ed. |
| ISBN-10 | 1098125975 |
| ISBN-13 | 978-1098125974 |
| Item Weight | 1.36 Kilograms |
| Language | English |
| Print length | 861 pages |
| Publication date | November 8, 2022 |
| Publisher | Oreilly & Associates Inc |
J**A
Great read!
plenty of detail on all topics. Quite heavy and bulky so try not to have to take it places too much to avoid damaging it or your back lol
G**0
One of best data science textbooks out there.
After going through many different data-science textbooks, I've encountered two that are by far the most useful. One is "Deep Learning with Python" by François Chollet (the creator of Keras). The other is this work, by Aurélien Géron. This work in particular is extremely well-written. It is very clear, well-organized, and the author has made a strong effort to keep up with the latest developments in the field and appropriately update the material. The corresponding notebooks on GitHub are of similar high-quality. As a small note, my partner has the Japanese version of this book (2nd edition), and can attest that the translation quality is very good.
H**É
All good
Correct book version, well packed and delivered as expected.
さ**き
Good
Good
N**A
Best book for ML
It is recommended by everyone and it is the best. The cover was damaged
J**N
Bom material e conteúdo muito enriquecedor
K**S
S**N
Best book period Suggested by ML/AI engineers from FAANG companies
M**O
Ottimo libro per chi vuole padroneggiare il machine learning e il deep learning in modo pratico. Gli esempi con scikit-learn aiutano a capire bene i concetti di base, mentre le parti su Keras e TensorFlow mostrano come costruire e addestrare reti neurali anche complesse. L’autore riesce a spiegare con chiarezza temi tecnici come regularization, ottimizzazione e reti convoluzionali, senza mai risultare pesante. Una guida aggiornata, solida e ricca di codice, perfetta per chi lavora già con Python e vuole applicare davvero le tecniche di AI nei propri progetti.
U**N
Güzel kitap beğendim
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