SKU: 2372572665

Turbin Cartridge cmopatible compatible for Mazda CX-7 MZR DISI EU 191 Kw 2005- K0422-881 L3M713700D

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Description

Turbin Cartridge cmopatible compatible for Mazda CX-7 MZR DISI EU 191 Kw 2005- K0422-881 L3M713700D[description] Item Number 2585560218 Application Compatible for Mazda 3 2. 3L MZR DISI DISI EU 2005 Compatible for Mazda 6 MZR DISI DISI EU 2005 Compatible for Mazda CX 7 MZR DISI DISI EU 2005 Specification OEM&PART NUMBER: K0422 881, K0422 882, K0422881, K0422882, L3K913700F, L3M713700C Condition: 100% Brand NEW & Factory Balanced Bearing Type: Journal Bearing Accessories: You will get exactly as shown in the picture above Warranty: one year Notice *

[description]

Item Number

2585560218

Application

Compatible for Mazda 3 2.3L MZR DISI DISI EU 2005 -
Compatible for Mazda 6 MZR DISI DISI EU 2005 -
Compatible for Mazda CX-7 MZR DISI DISI EU 2005 -

Specification

- OEM&PART NUMBER: K0422-881, K0422-882, K0422881, K0422882, L3K913700F, L3M713700C
- Condition:100% Brand NEW & Factory Balanced
- Bearing Type: Journal Bearing
- Accessories: You will get exactly as shown in the picture above
- Warranty: one year

Notice

* Please confirm your old turbo part number matches up with one of the part numbers above
* Professional installation is highly recommended (No Instruction Included)
* It is for repairing or rebuilding the complete turbo
* For any needs please contact us

[warranty]

Warranty Details

We aim to provide you the good buying experience, 30 days return policy is offered in our store. Please follow our return policy before you return any item(s):
If you are unhappy with your purchase for any reason, you can return it to us in an unused condition in the original packaging within 30 days of purchase and we'll give you a refund or exchange. The refund/Exchange will not include postage costs. Please note you MUST contact us to obtain a Return Authorization and Return Address before returning any part. Any parcel without the Return Authorization will be rejected.
If your item is faulty or was incorrect, you must contact our sales representative before returning the parcel and we will endeavour to solve the problem effectively. Video or picture is required to show the item condition before we issue the Return Authorization.

Important notice

1. Any returned item(s) without Return authorization will be rejected.
2. Please return your item(s) in original packaging and ensure that all packages are securely wrapped
3. We will not accept responsibility for loss or damage of goods during transit, please ensure that the insurance cover option is taken where possible
4. Upon receipt, all products will be inspected at our discretion in 3-5 business days. Then, the updated result will be informed.
If you have made a mistake on purchase and wish to cancel the order before it is dispatched please contact us by email as quickly as possible.

Shipping

1. We will ship your order in one business day once the payment is cleared.
2. Tracking number will be uploaded to your MXR customer account within 24 hours after shipment. Meanwhile, you will get the logistics notification mail.
3. Shipping time usually takes 2-7 business days when products available in local warehouses, and 5-25 business days to International addresses.
4. We only ship the item to PayPal verified shipping address if you pay with PayPal. Please make sure your shipping address is the same as PayPal.
5. Import Tax: We do not cover any import Duty and Tax. Customer should be responsible for the Import tax.
6. Please understand that extra shipping fee may be needed for some International customers, especially buyers from affiliate islands of France, Italy, Portugal, Spain and so on.

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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
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SKU: 2372572665

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4.8 ★★★★★
Based on 30 reviews
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Product Reviews
A
Verified Purchase
Amazon Customer
West Palm Beach, 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!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Houston, 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.
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Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Port Orchard, US
★★★★★ 5
The classic textbook on Deep Learning
Format: Hardcover
Deep Learning is the promising direction towards general purpose effective artificial intelligence. There is an explosion of fruitful research in recent years and a lot of applications pursued mainly from technology giants as Google, Amazon, etc. and outstanding research institutions. The book "Deep Learning " by Ian Goodfellow, Yoshua Bengio, Aaron Gourville, is an excellent piece of work. They manage to present rather difficult things in an understandable manner. The theoretical presentation is outstanding typical of "classic" books. Also, the book stays close to the practical applicability of all the methods and discusses applications extensively. There are a lot of other useful books on deep learning that follow a more practical approach by focusing on a particular deep learning software package, but this one book is certainly much more essential since it provides the required theoretical background in order to be able to do serious work on deep learning. I consider the book as "must have" for anyone that works on deep learning either in an academic or in an industrial environment.
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Reviewed in the United States on August 25, 2018
S
Verified Purchase
Sabrina
Belleville, US
★★★★★ 5
100% Recommend
Format: Paperback
Invincible Compendium One completely lived up to the hype. From the very first chapter, I was hooked by the story, the action, and the character development. What starts off feeling like a classic superhero story quickly becomes something much deeper, darker, and way more emotional than expected. The artwork is incredible and the fight scenes are intense without feeling repetitive. Every character feels important and layered, especially Mark and Omni-Man. The pacing is excellent for such a massive collection, and it’s hard to put down once you start reading. If you’re a fan of superhero comics but want something with real stakes, shocking twists, and strong storytelling, this is absolutely worth reading. Easily one of the best graphic novels I’ve picked up in a long time.
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Reviewed in the United States on May 23, 2026
A
Verified Purchase
Aayan
Waukegan, US
★★★★★ 5
This is the best purchase I’ve made in 2025!
Format: Paperback, Format: Paperback
I don’t even know where to start ever since I finished (in early August, 2025) the whole series of this comic. I have never been this much speechless in my life. It’s my first comic that I’ve ever read and finished it. I got into invincible through the TV show and I wanted to give a shot on comics because people said it’s even better than the show, and I was blown away just by the tv show until I started reading this. It didn’t matter how tired I would be and/or how busy I would be, but I’d still make time to grab and read at least some pages very excited. There are so many parts in this comics where it reflected on my personal life and somewhat opened my eyes of what I had and need to do in my life. It was really fun, exciting, loving, caring, sad and emotional story. This comic has a definitive beginning and a final, conclusive ending. I loved it overall despite where there were some boring parts, but it all made sense later in the main story. Very well developed characters, stories and art. Now whenever I pass by my bookshelf and I see these books puts big fat huge smile on my face. I’m glad I have it in my collection. I got to experience in this comic what I couldn’t in real life. Every other night in random or toughest moment I would think about what would mark do in this situation. Thank you for this masterpiece ❤️
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Reviewed in the United States on September 18, 2025

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