SKU: 49114908035
silver cross wave vs bugaboo fox

silver cross wave vs bugaboo fox Silver Cross Wave 2023 Stroller

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Description

silver cross wave vs bugaboo fox Silver Cross Wave 2023 StrollerThe ultimate single to double stroller, Wave carries one, two or even three little passengers. Growing family? Whether you have one little or more on the way, Waves patented One plus One system lets you convert your single stroller to carry both your newborn & toddler with no need to purchase anything additional. With 7 configurations straight out of the box and optional accessories to create up to 30 modes in total, Silver Crosss Wave is here to help

The ultimate single to double stroller, Wave carries one, two or even three little passengers.

Growing family? Whether you have one little or more on the way, Wave’s patented One plus One® system lets you convert your single stroller to carry both your newborn & toddler – with no need to purchase anything additional. With 7 configurations straight out of the box and optional accessories to create up to 30 modes in total, Silver Cross’s Wave is here to help future-proof your strolling needs for your growing family.

Weight capacities of up to 55 lbs for both its main & tandem seats mean that your strolling can be double the fun for years to come. 

A future proof design for your family today & tomorrow.

Wave is ready to go as a double stroller for a newborn and toddler using the bassinet and seat unit included, creating 7 configurations straight out of the box. With a unique, patented seat elevation, Wave lets you bring your baby closer to you and creates space to add a bassinet in the lower riding position.

By adding a tandem seat, car seat or second bassinet, it offers 30 configurations for one baby, siblings or twins – and can even carry three little ones with the ride on board.

Wave features our NEW ergonomic Genius™ harness system. The magnetic 5-point safety buckle is easy-to-use, as it fastens together with three simple clicks, so there’s less fiddling and you can keep enjoying the stroll—easily.

New & improved

Wave features Silver Cross's NEW ergonomic Genius™ harness system. The magnetic 5-point safety buckle is easy-to-use, as it fastens together with three simple clicks, so there’s less fiddling and you can keep enjoying the stroll—easily.

Sustainable fabrics

An estimated 1 million plastic bottles are thrown away globally per minute! Silver Cross put them to good use with their new sustainable outer fabrics woven exclusively with yarn made from recycled plastic bottles.

Wave Features

  • Ventilated UPF 50+ extended hood with pop-out sun visor & peek-a-boo window
  • Bumper bar compatible with snap-on snack tray (sold separately)
  • New Genius™ harness system with magnetic buckle
  • 7 configurations straight out of the box
  • Sustainable outer fabrics woven from recycled plastic bottles
  • Large shopping basket
  • Multi-height telescopic handle
  • Can carry up to three passengers (Ride-on board sold separately)
  • Patented two height riding positions elevate & bring baby closer to you
  • Four-way dynamic suspension
  • Smooth, easy-action fold
  • Height adjustable handlebar
  • Strong & durable Magnesium Aluminum Alloy Frame
  • Faces rearward & forward
  • One-handed, multi-position reclining seat is roomy & robust
  • Adjustable calf rest & integrated footrest for added comfort

Bassinet Features

  • Suitable for overnight sleeping
  • Ventilated UPF 50+ extended hood with pop-put sun visor & peek-a-boo window
  • Bamboo fabric lining
  • Removable, washable mattress
  • Included Apron/Footmuff for added warmth
  • Compatible with our Silver Cross bassinet stand
  • Sustainable outer fabrics woven exclusively with yarn from recycled plastic bottles – there are 75 bottles in the bassinet

What's in the box

  • Stroller chassis
  • Seat unit with canopy
  • Bassinet with mattress & apron
  • Genius™ harness system
  • Wave tandem adapters
  • Cup holder
  • Bamboo seat liner
  • 2 x Bumper bars
  • 2 x Mosquito nets
  • 2 x Rain covers
  • Shopping basket

Specifications

PRODUCT USAGE
Bassinet : Birth To 4-6 Months, When Baby Is Starting To Push Up Or Roll Over
Main Seat: 6 Months - 55 Lbs
Tandem Seat (Sold Separately) : 6 Months - 55 Lbs

PRODUCT WEIGHTS
Chassis: 22.2 Lbs
Bassinet: 8 Lbs
Main Seat: 4.4 Lbs
Tandem Seat: 5.6 Lbs

DIMENSIONS
Open Dimensions: L 43” X W 23” X H 37-43”
Folded Dimensions: L 37” X W 23” X H 15”

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SKU: 49114908035

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4.2 ★★★★★
Based on 9 reviews
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A
Verified Purchase
Amazon Customer
Louisville, 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
K
Verified Purchase
Kindle Customer
West Palm Beach, US
★★★★★ 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
T
Verified Purchase
Tommy Jonsson
San Leandro, US
★★★★★ 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
M
Verified Purchase
Moses Kayanda
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
New York, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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