Pay in installments of $26.98 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 19 - Aug 24
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
universalsage bosch psa 700 e 710wDort Universalsge Bosch PSA 700 E 710 W. Universalsge Bosch Leistungsstarkes und vielseitiges PSA 700 E 710W im EmmetiStore Bei EmmetiStore finden Sie professionelle und zuverlssige Lsungen. Bosch PSA 700 E 710W Es handelt sich um eine Universalsge, die entwickelt wurde, um sicherzustellen schnelle und przise Schnitte Dank des leistungsstarken Motors und des SDS Systems fr werkzeuglosen Klingenwechsel eignet es sich fr Holz, Metall und Rohre. Wozu
Dort Universalsäge Bosch PSA 700 E 710 W.
Universalsäge Bosch Leistungsstarkes und vielseitiges PSA 700 E 710W im EmmetiStore
Bei EmmetiStore finden Sie professionelle und zuverlässige Lösungen. Bosch PSA 700 E 710W Es handelt sich um eine Universalsäge, die entwickelt wurde, um sicherzustellen schnelle und präzise Schnitte Dank des leistungsstarken Motors und des SDS-Systems für werkzeuglosen Klingenwechsel eignet es sich für Holz, Metall und Rohre.
Wozu dient es? Bosch PSA 700 E
Die Universalsäge Bosch Die PSA 700 E eignet sich zum Schneiden von Holz bis zu 150 mm, Stahl bis zu 10 mm und Rohren bis zu 115 mm und bietet eine elektronische Drehzahlregelung zur Anpassung an verschiedene Materialien.
Hauptvorteile
- 710-W-Motor für eine höhere Effizienz.
- Elektronische Regelung 0-2700 Hübe/min um Zeit und Aufwand zu reduzieren.
- SDS-System Bosch für konstante Zuverlässigkeit.
- Beweglicher Fuß aus Sicherheits- und Kontrollgründen.
Technische Spezifikationen
- absorbierte Leistung: 710 W.
- Geschwindigkeit: 0-2700 Hübe/min.
- Klingenhub: 20 mm.
- Holzschnitttiefe: 150 mm.
- Stahlschnitttiefe: 10 mm.
- Rohrschnitttiefe: 115 mm.
- Klingenaufsatz: S-System
Ideal für
- Holzfällen auf eigens dafür vorgesehenen Materialien.
- Metallschneiden für Installation und Wartung.
- Rohrschneiden im beruflichen Kontext.
- Kontinuierliche Nutzung in der Werkstatt und auf der Baustelle.
Mitgeliefertes Zubehör
- 1 Klinge Bosch für Holz und Metall.
- 1 Satz mit 3 Klingen Bosch.
Warum dieses Produkt wählen?
Dort Bosch PSA 700 E 710W kombiniert Leistung, Vielseitigkeit und PraktikabilitätDamit ist sie ideal für alle, die eine zuverlässige Universalsäge für vielfältige Schneidanwendungen benötigen.
Warum bei EmmetiStore kaufen?
- Bestpreis immer wettbewerbsfähig.
- Offizielle Herstellergarantie.
- Versand schnell und sicher.
- Spezialisierte technische Unterstützung.
- Abrechnung möglich für Unternehmen, Techniker und Fachleute.
Wo man es kaufen kann
Dort Bosch PSA 700 E 710W ist im Fachhandel erhältlich. EmmetiStore Sie können es mit professioneller Unterstützung und sofortiger Verfügbarkeit erwerben.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
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 30 reviews
Sort
Product Reviews
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid.
I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets.
As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before.
I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt.
PROS:
- Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way.
- Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops.
- Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages.
- Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them.
- PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly.
CONS:
- Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste.
- Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022