Skip to content

Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8)

Marsoni M251S
Sale price$373.91
Pay 4 payments of $93.48 a month.Shop Pay
Get it in 3 business days with 1 day shipping. Friday, May 29
Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8)Granatelli 05 13 GM LS1 LS2 LS3 LS4 LS5 LS6 LS7 LS9 LSA Hi Perf Coil Packs Black (Set of 8) This Part Fits: Year Make Model Submodel 2008 2009 Buick LaCrosse Super 2005 2007,2009 2018 Cadillac CTS V 2007 2018 Cadillac Escalade Base 2011 2018 Cadillac Escalade Luxury 2008 2018 Cadillac Escalade Platinum 2011 2016 Cadillac Escalade Premium 2017 2018 Cadillac Escalade Premium Luxury 2007 2018 Cadillac Escalade ESV Base 2011 2018 Cadillac Escalade ESV
Easy Shipping

Quick Dispatch:

Your Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8) orders ship within 1-2 business days.

Delivery Options:

  • Standard: 3-7 business days
  • Fast: 2-3 business days
  • Express: 1-2 business days

Order Tracking:

You'll receive a tracking link by email once your Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8) ships.

Need Help?
Questions about Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8), sizing, or delivery? We're just an email away.

Live Shipping Estimates:
Enter your location at checkout to see available shipping methods and costs for Granatelli 05-13 GM LS1/LS2/LS3/LS4/LS5/LS6/LS7/LS9/LSA/ Hi-Perf Coil Packs - Black (Set of 8) in your area.

Get Shipping Estimates

Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
4.8 ★★★★★
Based on 1625 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
R
Verified Purchase
R. Cote
Fort Morgan, 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
Chelsea, 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
Dallas, 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
Verified Purchase
La Monte HP Yarroll
Phoenix, 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
Louisville, 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

recommand products