SKU: 28270679115

AMSPORT Endurance Recover Shake 600 g

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AMSPORT Endurance Recover Shake 600 gAMSPORT Endurance Recover Shake entwickelt fr hchste Ansprche Der AMSPORT Endurance Recover Shake gehrt zu den Spitzenprodukten im Leistungssport. Er wurde fr Athleten entwickelt, die keine Kompromisse machen, und wird seit Jahren von Top Teams der Bundesliga und Olympiasportlern tglich eingesetzt. Seine Zusammensetzung ist ernhrungsmedizinisch designt nach neuesten Studienergebnissen und ber 20 Jahren Erfahrung im Hochleistungssport regelmig

AMSPORT® Endurance Recover Shake – entwickelt für höchste Ansprüche

 

Der AMSPORT® Endurance Recover Shake gehört zu den Spitzenprodukten im Leistungssport. Er wurde für Athleten entwickelt, die keine Kompromisse machen, und wird seit Jahren von Top-Teams der Bundesliga und Olympiasportlern täglich eingesetzt. Seine Zusammensetzung ist ernährungsmedizinisch designt nach neuesten Studienergebnissen und über 20 Jahren Erfahrung im Hochleistungssport – regelmäßig kontrolliert, garantiert dopingfrei und wissenschaftlich fundiert.

 

Optimale Regeneration und Energieversorgung
Die Kombination aus sechs hochwertigen Eiweißquellen und fünf komplexen Kohlenhydratquellen versorgt den Körper nach intensiver Belastung mit allem, was er braucht. Das vollständige Aminosäurenprofil unterstützt den Muskelaufbau und den Erhalt der Muskelmasse, während die Kohlenhydrate eine kontinuierliche Energiebereitstellung ermöglichen und die Glykogenspeicher effizient auffüllen.

 

Vitamine und Mikronährstoffe für Zellschutz und Energie
Vitamin E schützt die Zellen vor oxidativem Stress. Die Vitamine B1, B2, B6, B12, Niacin, Pantothensäure, Biotin und Folsäure tragen zu einem normalen Energiestoffwechsel bei und helfen, Müdigkeit zu reduzieren. Damit unterstützt der Shake die natürliche Leistungsfähigkeit und die schnelle Erholung des Körpers.

 

Natürlich, rein und angenehm im Geschmack
Der Shake ist frei von künstlichen Süßstoffen, Farb- und Konservierungsstoffen. Er schmeckt angenehm mild, ist gut verträglich und eignet sich sowohl für den täglichen Gebrauch im Training als auch als ergänzende Eiweiß- und Energiequelle im Alltag.

 

Auch ideal bei erhöhtem Nährstoffbedarf
Der AMSPORT® Endurance Recover Shake eignet sich nicht nur für Sportler, sondern auch für Menschen, die ihren Eiweiß- und Energiebedarf gezielt unterstützen möchten – etwa in Phasen erhöhter körperlicher Belastung oder wenn die normale Ernährung vorübergehend eingeschränkt ist. Seine ausgewogene Zusammensetzung kann helfen, die tägliche Versorgung mit Nährstoffen zu verbessern und die Substanz zu erhalten.

 

Made in Germany – geprüft, sicher, bewährt
Jede Charge wird in Deutschland unter strengen Qualitätsstandards hergestellt und laborgeprüft. Alle AMSPORT® Produkte sind garantiert dopingfrei und werden regelmäßig kontrolliert. Das Vertrauen führender Leistungssportler und der TOP-Bundesligateams in allen Sportarten, ist das Ergebnis konsequenter Qualität, ernährungsmedizinischer Präzision und jahrelanger Erfahrung.

 

Einnahmeempfehlung
50 g Pulver mit 500 ml Wasser oder 200 ml fettarmer Milch mischen. Direkt nach dem Training oder bei erhöhtem Nährstoffbedarf trinken, um die Regeneration optimal einzuleiten.

 

Der AMSPORT® Endurance Recover Shake steht für Leistungsfähigkeit, Regeneration und Vertrauen – entwickelt aus der Praxis des Spitzensports, jetzt für alle, die ihrem Körper das Beste geben wollen.

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SKU: 28270679115

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4.3 ★★★★★
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Amazon Customer
Draper, US
★★★★★ 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
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Kindle Customer
Los Angeles, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Houston, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
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Verified Purchase
Moses Kayanda
Waukegan, US
★★★★★ 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.
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Reviewed in the United States on March 1, 2022
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Gabe Rigall
Fort Morgan, US
★★★★★ 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.
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Reviewed in the United States on February 26, 2022

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