SKU: 18560958830

04.2011-12.2013 For Mercedes-Benz S-CLASS (W221) S 350 BlueTEC 4-matic Estate Nox Sensor A0009052800

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Description

04.2011-12.2013 For Mercedes-Benz S-CLASS (W221) S 350 BlueTEC 4-matic Estate Nox Sensor A0009052800Nox Sensor A0009052800 For Mercedes W205 S205 C218 X218 W212 X164 X166 W166 W222 W447 Specifics: Material: ABS Plastic+Metal Condition: 100% Brand New Type: Nox Sensor Fitment Type: Direct Replacement Quantity: 1pcs Manufacturer Part Number: A0009052800 5WK96678 Number of pins: 5 pin connector Fitment For: Please verify that the original part number matches before purchasing. For Mercedes Benz C CLASS (W205) C 180 BlueTEC d Coupe 05. 2014 05. 2018 For

Nox Sensor A0009052800 For Mercedes W205 S205 C218 X218 W212 X164 X166 W166 W222 W447

Specifics:
Material: ABS Plastic+Metal
Condition: 100% Brand New
Type: Nox Sensor
Fitment Type: Direct Replacement
Quantity: 1pcs
Manufacturer Part Number:A0009052800 5WK96678
Number of pins: 5 -pin connector

Fitment For:
Please verify that the original part number matches before purchasing.
For Mercedes-Benz C-CLASS (W205) C 180 BlueTEC / d Coupe 05.2014-05.2018
For Mercedes-Benz C-CLASS (W205) C 200 BlueTEC / d Saloon 05.2014-05.2018
For Mercedes-Benz C-CLASS (W205) C 200 d Saloon 10.2015-05.2018
For Mercedes-Benz C-CLASS (W205) C 220 BlueTEC / d Saloon 02.2014-05.2018
For Mercedes-Benz C-CLASS (W205) C 250 BlueTEC / d Coupe 02.2014-05.2018
For Mercedes-Benz C-CLASS (W205) C 250 BlueTEC / d 4-matic SUV 02.2014-05.2018
For Mercedes-Benz C-CLASS (W205) C 300 BlueTEC Hybrid / h SUV 05.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 180 BlueTEC / d SUV 09.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 200 BlueTEC / d SUV 09.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 200 d SUV 10.2015-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 220 BlueTEC / d SUV 09.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 220 d 4-matic Saloon 04.2015-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 250 BlueTEC / d Saloon 09.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 250 BlueTEC / d 4-matic Saloon 10.2014-05.2018
For Mercedes-Benz C-CLASS T-Model (S205) C 300 BlueTEC Hybrid / h Saloon 10.2014-05.2018
For Mercedes-Benz CLS (C218) CLS 220 BlueTEC / d SUV 05.2014-12.2017
For Mercedes-Benz CLS (C218) CLS 250 BlueTEC / d 4-matic SUV 05.2014-12.2017
For Mercedes-Benz CLS (C218) CLS 250 CDI / BlueTEC / d SUV 04.2011-12.2017
For Mercedes-Benz CLS (C218) CLS 350 BlueTEC / d SUV 02.2013-12.2017
For Mercedes-Benz CLS (C218) CLS 350 CDI / d 4-matic SUV 09.2011-08.2014
For Mercedes-Benz CLS Shooting Brake (X218) CLS 220 BlueTEC / d Saloon 05.2014-12.2017
For Mercedes-Benz CLS Shooting Brake (X218) CLS 250 BlueTEC / d 4-matic Estate 05.2014-12.2017
For Mercedes-Benz CLS Shooting Brake (X218) CLS 250 CDI / BlueTEC / d Estate 10.2012-12.2017
For Mercedes-Benz CLS Shooting Brake (X218) CLS 350 BlueTEC / d 4-matic SUV 05.2014-12.2017
For Mercedes-Benz CLS Shooting Brake (X218) CLS 350 CDI / d 4-matic Saloon 10.2012-08.2014
For Mercedes-Benz CLS Shooting Brake (X218) CLS 350 d 4-matic Saloon 04.2015-12.2017
For Mercedes-Benz E-CLASS (W212) E 200 CDI / BlueTEC Coupe 01.2009-12.2015
For Mercedes-Benz E-CLASS (W212) E 220 BlueTEC Saloon 05.2014-12.2015
For Mercedes-Benz E-CLASS (W212) E 220 BlueTEC 4-matic Saloon 01.2015-12.2015
For Mercedes-Benz E-CLASS (W212) E 220 CDI / BlueTEC Saloon 01.2009-12.2016
For Mercedes-Benz E-CLASS (W212) E 250 CDI / BlueTEC Saloon 01.2009-12.2016
For Mercedes-Benz E-CLASS (W212) E 250 CDI / BlueTEC 4-matic Saloon 01.2011-12.2015
For Mercedes-Benz E-CLASS (W212) E 300 Hybrid / BlueTEC Hybrid Saloon 12.2011-12.2016
For Mercedes-Benz E-CLASS (W212) E 350 BlueTEC 4-matic Saloon 01.2013-12.2015
For Mercedes-Benz E-CLASS (W212) E 350 CDI 4-matic Saloon 03.2011-12.2015
For Mercedes-Benz GL-CLASS (X164) GL 320 CDI / 350 BlueTEC 4-matic Saloon 12.2009-08.2012
For Mercedes-Benz GL-CLASS (X164) GL 320 CDI 4-matic Saloon 09.2006-05.2009
For Mercedes-Benz GL-CLASS (X164) GL 350 CDI 4-matic Coupe 05.2009-08.2012
For Mercedes-Benz GL-CLASS (X166) GL 350 CDI / BlueTec 4-matic Coupe 07.2012-10.2015
For Mercedes-Benz GLE (W166) 250 d Coupe 04.2015-10.2018
For Mercedes-Benz GLE (W166) 250 d 4-matic Estate 04.2015-10.2018
For Mercedes-Benz GLE (W166) 350 d 4-matic Estate 04.2015-10.2018
For Mercedes-Benz GLS (X166) 350 d 4-matic Estate 11.2015-04.2019
For Mercedes-Benz M-CLASS (W164) ML 280 CDI 4-matic Estate 07.2005-07.2009
For Mercedes-Benz M-CLASS (W164) ML 300 CDI 4-matic Saloon 07.2009-12.2011
For Mercedes-Benz M-CLASS (W164) ML 320 CDI 4-matic Estate 07.2005-07.2009
For Mercedes-Benz M-CLASS (W164) ML 350 CDI 4-matic Estate 07.2009-12.2011
For Mercedes-Benz M-CLASS (W166) ML 250 CDI / BlueTEC 4-matic Van 06.2011-12.2015
For Mercedes-Benz M-CLASS (W166) ML 350 BlueTEC 4-matic Van 06.2011-02.2015
For Mercedes-Benz S-CLASS (W221) S 320 CDI Van 12.2005-06.2009
For Mercedes-Benz S-CLASS (W221) S 320 CDI 4-matic Estate 10.2005-12.2013
For Mercedes-Benz S-CLASS (W221) S 350 BlueTEC 4-matic Estate 04.2011-12.2013
For Mercedes-Benz S-CLASS (W221) S 350 BlueTec Saloon 04.2011-12.2013
For Mercedes-Benz S-CLASS (W221) S 350 CDI 4-matic SUV 04.2011-12.2013
For Mercedes-Benz S-CLASS (W222, V222, X222) S 300 BlueTEC Hybrid / h SUV 01.2009-12.2010
For Mercedes-Benz S-CLASS (W222, V222, X222) S 350 BlueTEC / d Estate 02.2014-05.2017
For Mercedes-Benz S-CLASS (W222, V222, X222) S 350 BlueTEC / d 4-matic Estate 05.2013-05.2017
For Mercedes-Benz S-CLASS (W222, V222, X222) S 350 BlueTEC 4-matic Saloon 02.2014-05.2017
For Mercedes-Benz VITO Dualiner (W447) 109 CDI Estate 02.2014-05.2017
For Mercedes-Benz VITO Dualiner (W447) 111 CDI SUV 10.2014-

Package Included:
1x Nox Sensor

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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SKU: 18560958830

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4.2 ★★★★★
Based on 19 reviews
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Product Reviews
S
Verified Purchase
Shannon
Draper, US
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
W
Verified Purchase
William P Ross
Port Orchard, US
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning. There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s. The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read. There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning. The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique. Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Belleville, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Waukegan, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Pawtucket, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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