SKU: 82561920522

LIQUI MOLY 20L Motorbike 4T SAE 10W40 Street

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Description

LIQUI MOLY 20L Motorbike 4T SAE 10W40 StreetFully synthetic high performance motor oil provides optimum performance and engine protection in all operating conditions. Ensures outstanding engine cleanliness, excellent friction behavior and minimum wear together with perfect clutch operation, and smooth gear shifting. Installation Instructions Material Safety Data Sheet Optimum Lubrication Under All Operating Conditions Tested For The Use With Catalytic Converters Especially Suitable For Wet

Fully synthetic high-performance motor oil provides optimum performance and engine protection in all operating conditions. Ensures outstanding engine cleanliness, excellent friction behavior and minimum wear together with perfect clutch operation, and smooth gear shifting.

Installation Instructions
Material Safety Data Sheet
  • Optimum Lubrication Under All Operating Conditions
  • Tested For The Use With Catalytic Converters
  • Especially Suitable For Wet Clutches
  • Guarantees Low Oil Consumption
  • Outstanding Engine Cleanliness
  • Optimum Stability To Aging
  • High Shear Stability
  • High Wear Resistance

This Part Fits:

Year Make Model Submodel
2001-2004 Aprilia Atlantic 500 Base
1996-2002 Aprilia Pegaso 650 Base
2008-2011 Aprilia Sportcity 125 Base
2007-2009 Aprilia Sportcity 250 Base
2009 Aprilia Sportcity Cube 250 Base
2006-2008 Arctic Cat 250 2x4 Base
2004 Arctic Cat 400 2x4 Auto Base
2004-2008 Arctic Cat 400 4x4 Auto Base
2004 Arctic Cat 400 4x4 Auto ACT Base
2005-2007 Arctic Cat 400 4x4 Auto LE Base
2004 Arctic Cat 400 4x4 Auto MRP Base
2004-2006 Arctic Cat 400 4x4 Auto TBX Base
2006 Arctic Cat 400 4x4 Auto TRV Base
2005-2006 Arctic Cat 400 4x4 Auto VP Base
2011 Arctic Cat 425 Base
2012 Arctic Cat 425i Base
2012 Arctic Cat 425i SE Base
2004-2009 Arctic Cat 500 4x4 Base
2004-2009 Arctic Cat 500 4x4 Auto Base
2006-2008 Arctic Cat DVX 250 Base
2011 Arctic Cat DVX 300 Base
2004-2008 Arctic Cat DVX 400 Base
2006-2007 Arctic Cat DVX 400 TS Base
2006 Arctic Cat DVX 50 Base
2006-2007 Arctic Cat DVX 90 Base
2009 Arctic Cat Prowler 550 Base
2006-2007 Arctic Cat Prowler 650 H1 Base
2010-2011 Arctic Cat Prowler XT 550 Base
2006-2007,2009 Arctic Cat Prowler XT 650 H1 Base
1998-1999,2002 ATK 350 Enduro Base
1988-1992 ATK 604 Base
1991-1992 ATK 604 CC Base
1991-1992 ATK 604 MX Base
2011-2014 ATK GT250 Base
2011-2014 ATK GT250R Base
2011-2014 ATK GT650R Base
2011-2014 ATK GV250 Base
2011-2014 ATK GV650 Base
2007 Bimota DB5R Base
2007 Bimota DB5S Base
2007 Bimota DB6 Delirio Base
2008-2009 Bimota DB7 Base
2008-2009 Bimota Tesi 3D Base
1997-2000 BMW F650 Base
1998-2001 BMW F650 Enduro Base
1999 BMW F650 SE Base
2001-2005 BMW F650CS Base
2003-2005 BMW F650CS ABS Base
2001-2012 BMW F650GS Base
2001-2003,2005 BMW F650GS ABS Base
2001-2007 BMW F650GS Dakar Base
2002-2005 BMW F650GS Dakar ABS Base
1997-1999 BMW F650ST Base
2011 BMW F800GS Base
2009-2011 BMW F800R Base
2009-2010 BMW F800S Base
2010-2012 BMW F800ST Base
2008-2010 BMW G450X Base
2007 BMW G650 Xchallenge Base
2007-2009 BMW G650 Xcountry Base
2007 BMW G650 Xmoto Base
2009-2011 BMW G650GS Base
2007-2008 BMW HP2 Enduro Base
2007-2009 BMW HP2 Megamoto Base
1988-1993 BMW K1 Base
1983-1986 BMW K100 Base
1987-1992 BMW K100LT Base
1989-1992 BMW K100LT ABS Base
1983-1988 BMW K100RS Base
1988-1989 BMW K100RS ABS Base
1991-1992 BMW K100RS FL Base
1991-1992 BMW K100RS FL ABS Base
1985-1988 BMW K100RT Base
1993-1999 BMW K1100LT Base
1997 BMW K1100LT High Line Base
1997 BMW K1100LT Special Edition Base
1993-1996 BMW K1100RS Base
1996 BMW K1100RS SE Base
2003-2008 BMW K1200GT Base
1998-2009 BMW K1200LT Base
2003 BMW K1200LT Exodus Base
1999-2002 BMW K1200LTC Base
1999-2001 BMW K1200LTI Icon Base
1999-2000 BMW K1200LTS Base
2005-2008 BMW K1200R Base
2007-2008 BMW K1200R Sport Base
1997-2005 BMW K1200RS Base
1999 BMW K1200RS Dakar Base
2005-2008 BMW K1200S Base
1988-1995 BMW K75 Base
1995 BMW K75/3 Base
1995 BMW K75/3A Base
1994 BMW K75A Base
1986-1988 BMW K75C Base
1990-1992 BMW K75RT Base
1991-1995 BMW K75RT ABS Base
1987-1992 BMW K75S Base
1991-1995 BMW K75S ABS Base
1986-1987 BMW K75T Base
1980-1984 BMW R100CS Base
1987-1995 BMW R100GS Base
1990-1995 BMW R100GS Paris-Dakar Base
1992-1995 BMW R100R Base
1988-1993 BMW R100RS Base
1980-1984 BMW R100RT Base
1994-1995 BMW R1100GS Base
1995-1999 BMW R1100GS ABS Base
1999 BMW R1100GS SE Base
1995-2000 BMW R1100R Base
1999 BMW R1100R SE Base
2001 BMW R1100RL Base
1993-1994 BMW R1100RS Base
1994-2001 BMW R1100RS ABS Base
1994-1996 BMW R1100RSL Base
1994-2001 BMW R1100RT Base
2000 BMW R1100RT SE Base
1996-1997 BMW R1100RTL Base
1998-2005 BMW R1100S Base
1999,2002,2004-2005 BMW R1100S ABS Base
2002 BMW R1100S Boxer Cup Base
2003-2005 BMW R1100S Boxer Cup Replica Base
2000-2001 BMW R1100SA Base
1999-2004 BMW R1150GS Base
2002-2005 BMW R1150GS Adventure Base
2003 BMW R1150GS Sport Base
2001-2006 BMW R1150R Base
2002-2006 BMW R1150R Roadster Base
2001-2004 BMW R1150RS Base
2001-2005 BMW R1150RT Base
1998-2002 BMW R1200C Base
2000-2003 BMW R1200C Avantgarde Base
1996-2005 BMW R1200C Classic Base
1998 BMW R1200C Euro Base
2000-2004 BMW R1200C Independent Base
2000-2003 BMW R1200C Montana Base
2004-2005 BMW R1200C Montauk Base
2000-2002 BMW R1200C Phoenix Base
2001 BMW R1200C Stiletto Base
2002-2006 BMW R1200CL Base
2004-2012 BMW R1200GS Base
2006-2012 BMW R1200GS Adventure Base
2006-2007 BMW R1200GS HP2 Base
2006-2010 BMW R1200R Base
2005-2012 BMW R1200RT Base
2006-2007 BMW R1200S Base
2005-2007 BMW R1200ST Base
1980-1985 BMW R45 Base
1980-1987 BMW R65 Base
1981-1985 BMW R65LS Base
1985-1987 BMW R80 Base
1980-1986 BMW R80G/S Base
1992-1994 BMW R80R Base
1982-1987 BMW R80RT Base
1982-1984 BMW R80ST Base
2000-2003 BMW R850C Avantgarde Base
1996-2001 BMW R850C Classic Base
1995-2001 BMW R850R Base
1996 BMW R850R ABS Base
1997 BMW R850R Special Edition Base
2009-2012 BMW S1000RR Base
2001-2005 Cagiva Raptor 650 Base
2022-2025 CFMOTO 300NK Base
2022-2025 CFMOTO 300SS Base
2024-2025 CFMOTO 450NK Base
2023-2025 CFMOTO 450SS Base
2022-2023 CFMOTO 650 Adventura Base
2022-2023 CFMOTO 650NK Base
2025 CFMOTO 675SS Base
2022-2024 CFMOTO 700CL-X Base
2022-2024 CFMOTO 700CL-X Sport Base
2024-2025 CFMOTO 800NK Base
2021-2022,2024-2025 CFMOTO CFORCE 1000 Overland Base
2025 CFMOTO CFORCE 1000 Touring Base
2025 CFMOTO CFORCE 400 Base
2025 CFMOTO CFORCE 500 Base
2025 CFMOTO CFORCE 600 Base
2025 CFMOTO CFORCE 600 Touring Base
2025 CFMOTO Ibex 450 Base
2025 CFMOTO Ibex 800 E Base
2023-2024 CFMOTO Ibex 800 S Base
2023-2024 CFMOTO Ibex 800 T Base
2022-2023 CFMOTO Papio Base
2024-2025 CFMOTO Papio CL Base
2024-2025 CFMOTO Papio SS Base
2019-2024 CFMOTO UFORCE 1000 Base
2022-2024 CFMOTO UFORCE 1000 XL Base
2021,2024 CFMOTO UFORCE 600 Base
2005-2006 Ducati 1000DS Base
2007-2008 Ducati 1098 Base
2008-2009 Ducati 1098 R Base
2009 Ducati 1098 R Bayliss LE Base
2007-2008 Ducati 1098 S Base
2007 Ducati 1098 S Tricolore Base
2009-2011 Ducati 1198 Base
2010-2011 Ducati 1198 R Corse Base
2009-2010 Ducati 1198 S Base
2010 Ducati 1198 S Corse Base
2012-2014 Ducati 1199 Panigale Base
2013-2014 Ducati 1199 Panigale R Base
2012-2014 Ducati 1199 Panigale S Base
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SKU: 82561920522

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4.2 ★★★★★
Based on 17 reviews
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Product Reviews
C
Verified Purchase
CL
New York, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Birmingham, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
Los Angeles, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Houston, 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
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Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Boise, 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

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