SKU: 86687510607

Suspension Street D2 Racing MAZDA 3 (NON MPS) 03-09

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Description

Suspension Street D2 Racing MAZDA 3 (NON MPS) 03-09Part No. Brand Model Year Street Top Mount F R D MA 02 MAZDA 3 (NON MPS) 03 09 Pillowball Rubber Top Mount Aluminium Top Mount There are rubber top mount and pillowball rubber top mount of street McPherson coilover for your options, it also keeps the original comfort setup for 60%. 36 way damping setting is able to adjust the damping settings freely to meet the requirement of street setup and enjoy the hedonics of speed. Use SAE9254 materials for

Part

No.

Brand
Model Year

Street

Top Mount

F R
D-MA-02
MAZDA
3 (NON MPS)
03-09

Pillowball Rubber Top Mount

Aluminium Top Mount

There are rubber top mount and pillowball rubber top mount of street McPherson coilover for your options, it also keeps the original comfort setup for 60%.

36-way damping setting is able to adjust the damping settings freely to meet the requirement of street setup and enjoy the hedonics of speed.

Use SAE9254 materials for spring to avoid changing shape and 6061 aluminium to avoid the rusty when it snows.

To adjust the bottom mount to reach the ride height desired and no need to compress the spring.

Use the spring bearing to avoid the unusual sound when turning the steering wheel.

The ride height adjustable function is able to prevent the spring perch to compress the spring and avoid the unusual sound. Besides, this function avoids the situation that you raise or lower the ride height too much and cause the spring perch does not snug the spring, which will damage the coilover. Our coilover can be adjusted -60mm +30mm from OE ride height.

If there is no application desired, we can customize the coilover for you to meet the requirements.

All applications listed on our website are for 2WD model unless we specify 4WD.

In the link below there are listed spring rates in each suspension:

SPRING RATES

Suspension working characteristics:

The "model year" defined for each application on our website might be different from the ones in each country; therefore, please confirm the "production years" with us if you cannot make sure.

Product covered by a 12-month warranty.

We have coilovers for more than 300 cars.

Please contact us for more information.

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Exchange/Return Notes
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SKU: 86687510607

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Randy Hayes
Massapequa, US
★★★★★ 5
Hilarious and Informative
Format: Kindle
This book was a major hit with me - it had me in hysterics at several points while teaching me a lot about machine learning and neural networks on a deep level.
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Reviewed in the United States on April 5, 2026
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Odysseus at home
Boise, US
★★★★★ 5
An adorable book
Format: Paperback
This is an adorable book. I bought it because I needed to know more about AI, and this exemplar seemed perfect to me. And it was. I had already read several books on AI, dozens in fact, and let's say this is one of the best. First: the tone (the author is very nice); secondly, the drawings (always adding clarity), and thirdly, the scope (it covers all the main topics, including ethical and technological issues). The problem with books on AI is that some authors begin to talk on AI in a very effective manner, but then, before you realize, they start pontificating on all the evils that it brings with it, and the perverse people behind the scene trying to kidnap your soul (or your money). Believe me, I tremble every time I read on AI because I know what possibly is going to happen after the first fifty pages. This is not the case. Janelle Shane goes to the point, shows you the magic, and the limits of this pervasive science, without painting the horror movie some others make you watch. Highly recommended for all those interested in passing a couple of days of good reading on AI topics, learning on them, and enjoying a very entertaining author. Five brilliant stars.
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Reviewed in the United States on October 13, 2023
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Kelson Vibber
Battle Creek, US
★★★★★ 5
A fun, accessible introduction to how AI works...and how it sometimes doesn't!
Format: Hardcover
Still relevant despite recent advances in AI-generated imagery and text, because the new systems still work on the same principles as the ones that were around three years ago. They just have a lot more data and processing power. This also means they have the same limitations and blind spots. What was it trained on? *How* was it trained? (This is the most obvious way human bias can leak into an AI model.) How well is the goal specified? And of course, did the AI actually latch onto relevant details, or did it notice that all the training pictures labeled sheep had green fields and blue skies, and completely ignore the actual sheep? These are things to keep in mind as we enter the landscape of generative AI tools like ChatGPT: You can train an LLM to write a book review, and it'll give you a great piece of text that *reads* like a book review -- but it's not going to have actually evaluated the book. For that, you'd have to train *another* AI to categorize books as good, bad, interesting, dull, and so on. But even that can only be as good as its training data. (I don't remember whether the classic phrase "garbage in, garbage out" is used anywhere in the book, but it still applies today!)
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Reviewed in the United States on April 1, 2023
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Tero
Chelsea, US
★★★★★ 4
If you want a book on the details of AI without math and statistics, this is it
Format: Paperback
I had this book a year or two back and then sold a lot of books as they piled up. After that I read a good number of books on AI. Of those, Ethan Mollick's book Co-Intelligence is best for the user end. But then there was still the issue of how do they do it? If you want to understand the process how AI works, there are a few books like this. Melanie Mitchell tends to focus on pictures. When you read ANY of these book, you will come to a page where you think "this makes no sense." You get there because the way AI chops up information and stores it in "cells" and then processes in stages (deep learining, hidden layers) is not how we think. They are not brains, though the neural network has some similarity to ours. You will simply need to finish the book. This one or the one you bought. Then read another one, if needed. It will make a lot of sense if you finish the book. Then you just generalize where you are at. I am never going to write Python or get deeply involved in tha manner. I am quite familiar with the free vesrions and I am able to check what summaries I get from AI. I will also keep up with the language part of it. AI does not study grammar the way we do. It looks for patterns in millions of examples. I have since 2023 gone through most of the 20 dollar range books. This one is the best.
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Reviewed in the United States on April 1, 2026
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Erica V. Matos
Charlottesville, US
★★★★★ 5
Great, funny intro to AI
Format: Hardcover
This is a wonderful, humorous introduction to AI that is a fast read packed full of examples. It makes a great gift for friends or family who don’t know much about the field, and I imagine it would be especially interesting to teens. I loved the way she used running jokes to make connections between themes. Shane is clearly on a mission to make AI more accessible. It’s funny, someone else said they didn’t like this book because it wasn’t enough like Shane’s tear-inducingly-hilarious blog. But here’s the thing: I can read the blog for free! I was actually nervous that I was going to be getting a repeat of the blog in book form, but it was super different. If you’re a computer science scholar, maybe skip this one, but I don’t think that was the audience Shane was trying to reach.
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Reviewed in the United States on November 19, 2019

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