SKU: 19677001134

Makita BO 003 CGD101 Akku Exzenterschleifer 40 V max. 125 mm 3,0 mm Hub Brushless + 1x Akku 2,5 Ah + Ladegerät + Makpac

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Description

Makita BO 003 CGD101 Akku Exzenterschleifer 40 V max. 125 mm 3,0 mm Hub Brushless + 1x Akku 2,5 Ah + Ladegerät + MakpacLieferumfang: 1x Makita BO 003 CG Akku Exzenterschleifer 1x Staubsack ( 122G32 0 ) 1x Akku Adapter 1,6 m ( 1914H3 6 ) 1x Armschlaufe ( 194679 8 ) 1x WKZ Muffe 22 ( 413Y47 9 ) 1x Netzschleifmittel A 120 125 mm Klett ( D 78667 ) 1x Schleiftellerschutz 125 mm Klett ( D 78704 ) 1x Makita BL4025 40 V max. 2,5 Ah Akku 1x Makita DC40RA Ladegert 1x Makita Makpac Koffer Produktbeschreibung: Der Makita BO003CG zeichnet sich als uerst handlicher und leichter

Lieferumfang:

- 1x Makita BO 003 CG Akku Exzenterschleifer
- 1x Staubsack ( 122G32-0 )
- 1x Akku-Adapter 1,6 m ( 1914H3-6 )
- 1x Armschlaufe ( 194679-8 )
- 1x WKZ-Muffe 22 ( 413Y47-9 )
- 1x Netzschleifmittel A 120 125 mm Klett ( D-78667 )
- 1x Schleiftellerschutz 125 mm Klett ( D-78704 )
- 1x Makita BL4025 40 V max. 2,5 Ah Akku
- 1x Makita DC40RA Ladegerät
- 1x Makita Makpac Koffer

Produktbeschreibung:

Der Makita BO003CG zeichnet sich als äußerst handlicher und leichter Exzenterschleifer aus, der wahlweise mit einem 40V max. Akku oder über einen PDC-Connector-Akku betrieben werden kann. Seine Konstruktion ermöglicht eine besonders komfortable Handhabung, da der Akku separat über ein Adapterkabel angeschlossen oder an einer PDC-Akku-Bank befestigt wird, was zusätzlich das Gewicht des Geräts verringert. Dieser Schleifer bietet eine ausgezeichnete Staubabsaugung, die entweder direkt durch die Grundplatte in eine integrierte Staubbox erfolgt oder eine externe Absaugung nutzt, welche über das Auto-Start Wireless System (AWS) via Bluetooth mit einem Staubsauger verbunden werden kann. Die Dreh- und Exzenterbewegungen des Schleifers sind regulierbar, was eine optimale Anpassung an verschiedene Materialien ermöglicht und stets perfekte Schleifergebnisse garantiert. Durch die separierte Stromversorgung über einen Adapter ist das Gerät besonders handlich und leicht; der Akku kann beispielsweise am Gürtel getragen werden, wodurch die Handhabung noch bequemer wird. Zudem verfügt der Makita BO003CG über einen bürstenlosen Motor, der nicht nur wartungsfrei und langlebig ist, sondern auch durch die Konstantelektronik eine gleichbleibende Drehzahl während des Betriebs sicherstellt und so ein gleichmäßiges Schleifbild ermöglicht.

Technische Daten:

Hersteller: Makita
Hersterllerbezeichnung: BO003CG
Akkuspannung: 40 V
Akkusystem: XGT
Leerlauf-Oszillation: 6000 - 10000 min⁻¹
Durchmesser Schleifteller: 125 mm
Schwingkreis: 3 mm
Schalldruckpegel (LpA): 77 dB(A)
K-Wert Geräusch: 3 dB(A)
Vibrationswerte, Schleifen einer Metallplatte: 2,9 m/s²
Vibrationsunsicherheitsfaktor (K-Wert), Schleifen einer Metallplatte: 1,5 m/s²
Gewicht inkl. Akku: 1,6 - 2,8 kg
Produktabmessung (L x B x H): 233 x 123 x 96 mm


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SKU: 19677001134

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4.4 ★★★★★
Based on 24 reviews
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A
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Adam
Port Orchard, US
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry. The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Cuba, 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
San Leandro, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018
S
Verified Purchase
Stergios Papadimitriou
Lake Worth, 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
Port Orchard, 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

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