SKU: 14071354263

2015/10-X For Mercedes-Benz C-Class Coupe (C205) Water Pump 2742000107

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Description

2015/10-X For Mercedes-Benz C-Class Coupe (C205) Water Pump 27420001072742000107 Water Pump for Mercedes C Class A205 C205 S205 W205 GLC X253 C253 Feature: According to the original factory specifications. Superior performance and reliability. Perfect match for the original car. Aftermarket Products with Premium Quality. Designed to meet or exceed OE specifications in form, fit and function. Specifics: Condition: Brand New Manufacturer Part Number: 2742000207, 2742000107, 2742002700 OE OEM Number: A2742000207,

2742000107 Water Pump for Mercedes C-Class A205 C205 S205 W205 GLC X253 C253

Feature:
According to the original factory specifications. Superior performance and reliability.
Perfect match for the original car.
Aftermarket Products with Premium Quality. Designed to meet or exceed OE specifications in form, fit and function.

Specifics:
Condition: Brand New
Manufacturer Part Number: 2742000207, 2742000107, 2742002700
OE/OEM Number: A2742000207, A2742000107, A2742002700

Fitment For :
Fit For Mercedes-Benz C-Class Convertible (A205) 2016/06 - X
Fit For Mercedes-Benz C-Class Coupe (C205) 2015/10 - X
Fit For Mercedes-Benz C-Class T-Model (S205) 2014/09 - X
Fit For Mercedes-Benz C-Class (W205) 2013/07 - X
Fit For Mercedes-Benz E-Class Convertible (A238) 2017/06 - X
Fit For Mercedes-Benz E-Class Coupe (C238) 2016/12 - X
Fit For Mercedes-Benz E-Class T-Model (S213) 2016/07 - X
Fit For Mercedes-Benz E-Class (W213) 2016/01 - X
Fit For Mercedes-Benz Glc Coupe (C253) 2016/06 - X
Fit For Mercedes-Benz Glc (X253) 2015/06 - X
Fit For Mercedes-Benz Slc (R172) 2016/01 - X
Fit For Mercedes-Benz Slk (R172) 2011/01 - X

Package Included:
1 * Water Pump

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 14071354263

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4.3 ★★★★★
Based on 22 reviews
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R
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R. Cote
Massapequa, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Whiting, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Phoenix, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
L
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La Monte HP Yarroll
Massapequa, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025
R
Verified Purchase
3rd Act
Pawtucket, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 7, 2024

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