SKU: 71207306548

Rumble Kickboksset Beginner 2.0 PU Zwart/Wit

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Description

Rumble Kickboksset Beginner 2.0 PU Zwart/WitRumble Bokshandschoenen PU Beginner 2. 0 Zwart Wit De Rumble bokshandschoenen model Beginner zijn gemaakt van hoge kwaliteit mat PU en beschikken over een compacte pasvorm. De padding loopt door tot de pols, waardoor de beweging op de pols extra wordt ondersteund. Op de knokkels zit een foam padding om de knokkels goed te beschermen. Voor wie is deze handschoen? De Rumble Geginner bokshandschoenen zijn geschikt voor de recreant (kick)bokser, die 1 tot

Rumble Bokshandschoenen PU Beginner 2.0 Zwart/Wit

De Rumble bokshandschoenen model Beginner zijn gemaakt van hoge kwaliteit mat PU en beschikken over een compacte pasvorm.

De padding loopt door tot de pols, waardoor de beweging op de pols extra wordt ondersteund.
Op de knokkels zit een foam padding om de knokkels goed te beschermen.

Voor wie is deze handschoen?

De Rumble Geginner bokshandschoenen zijn geschikt voor de recreant (kick)bokser, die 1 tot 2 keer per week trainen.
Ben je opzoek naar bokshandschoenen voor meer dan 3 trainingen per week? Klik hier!

Welke maat heb ik nodig?

Het is belangrijk om de juiste maat te kiezen. Hieronder een maattabel om de juiste keus te maken.
Mocht je er niet uit komen staan onze vechtsport specialisten voor je klaar!

Telefoon : 030-2433933
WhatsApp: Klik hier!
Email: [email protected]

Dames
45 - 60 kg 10 Oz
60 - 70 kg 12 Oz
70 - 80 kg 14 Oz
80 - 100 kg 16 Oz

Heren
40-55 kg 10 Oz
55-65 kg 12 Oz
65-80 kg 14 Oz
80-110 kg 16 Oz

 

Specificaties

  • Leverbaar in 10 t/m 16 Oz
  • Hoogwaardig mat PU
  • Stevige padding
  • Sterke stiksels
  • Compacte pasvorm
  • Padding loopt helemaal door tot de pols
  • Logo is gedrukt

Tips van Rumblestore.nl

Gebruik tijdens uw training altijd een bandage of binnenhandschoen. De bandage of binnenhandschoen zal ervoor zorgen dat uw pols en knokkels meer versteviging zullen krijgen en hierdoor meer bescherming hebben. Daarnaast zorgen de bandages en binnenhandschoenen ervoor dat het zweet tijdens het sporten deels wordt opgenomen waardoor de bokshandschoenen langer fris blijven. De bandage of binnenhandschoen kunt u namelijk eenvoudig uitwassen.
Tegen de geur hebben wij verschillende geurvernietigers, dit houdt de handschoenen schoon en fris!

Bestel de bokshandschoenen Rumble Winner eenvoudig online of kom langs in onze winkel!

Scheenbeschermer Rumble PU Beginner Zwart/Wit

Deze scheenbeschermers bieden de perfecte combinatie van bescherming, comfort en duurzaamheid, zodat je met vertrouwen jouw trainingen kunt afwerken.

Kenmerken:

Stevige Padding: Uitgerust met dikke, schokabsorberende padding, bieden deze scheenbeschermers maximale bescherming voor jou en je tegenstanders.

Goede Pasvorm: Dankzij de ergonomische pasvorm zitten de scheenbeschermers perfect.

Verstelbare Sluitingen: De stevige klittenbandsluitingen zorgen voor een verstelbare pasvorm. Ze houden de scheenbeschermers stevig op hun plaats, zodat je je volledig kunt concentreren op je training zonder afleidingen.

Duurzaam Materiaal: Gemaakt van hoogwaardige kwaliteit PU

De scheenbeschermers Rumble PU Beginner zijn de ideale keuze voor beginnende als ervaren kickboksers die op zoek zijn naar betrouwbare bescherming en ultiem comfort.
Bescherm jezelf en verbeter je prestaties met onze duurzame en goed ontworpen scheenbeschermers.

Maattabel:

S 31cm

M 33cm

L 35cm

XL 37cm

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SKU: 71207306548

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Amazon Customer
Carnegie, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
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Kindle Customer
Battle Creek, 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
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Tommy Jonsson
Lake Worth, 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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Moses Kayanda
Chelsea, 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
Birmingham, 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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