SKU: 73504773407
vista v3 uppababy

vista v3 uppababy UPPAbaby Vista V3 Stroller + RumbleSeat V3 Bundle – Swaddles Baby

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Description

vista v3 uppababy UPPAbaby Vista V3 Stroller + RumbleSeat V3 Bundle – Swaddles BabyThe UPPAbaby Vista V3 Stroller is designed to evolve with your family. It offers the convenience of transforming from a single stroller to one that can accommodate up to three children with added accessories and adapters. The included bassinet is suitable from birth and provides a comfortable lie flat environment for newborns. Whether for naps on the go or overnight sleeping, the Bassinet allows your baby to lie completely flat. Specifications

The UPPAbaby Vista V3 Stroller is designed to evolve with your family. It offers the convenience of transforming from a single stroller to one that can accommodate up to three children with added accessories and adapters. The included bassinet is suitable from birth and provides a comfortable lie-flat environment for newborns. Whether for naps on the go or overnight sleeping, the Bassinet allows your baby to lie completely flat.

 

Specifications

Stroller

  • Over 30+ configurations to grow with your family.
  • Capable of transitioning from mono to duo or trio.
  • Enhanced FlexRide Suspension for a smooth ride.
  • Quick-to-secure harness with magnetic buckle and no-rethread harness.
  • Parent-facing and forward-facing full size, toddler seat grows with child up to 50 lbs. 
  • Enhanced FlexRide Suspension delivers a smooth ride, whether strolling with 1, 2, or 3.
  • Effortlessly folds in one simple step, and stands when folded for compact storage.
  • All-Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days.
  • Extendable, water-repellent UPF 50+ canopy and easy-to-peek window for added airflow.
  • Extra-large, easy-access basket with a 30 lb weight limit to easily store all your essentials while strolling.
  • Never-flat tires for durability and smooth strolling through various terrains.
  • One-handed multi-position recline for those “resting strolls.”
  • One-hand, adjustable handlebar to better accommodate different heights.
  • The front wheel locks with visual indicators for parents’ peace of mind.
  • Adjustable footrest positions feet and legs comfortably as they grow.
  • Premium fabrics and full-grain REACH-certified leather details.
  • Bassinet, Mesa®, and Aria™ Infant Car Seats direct attachment.
  • It accommodates the PiggyBack accessory, two infant car seats, two bassinets, two seats, or a combination, offering plenty of positions to go and grow with your family.
  • Suitable from birth with accessories or 3 months to 50 lbs without accessories
  • 3-Year Warranty.

RumbleSeat

  • All-Weather Comfort Seat with Seasonal Seat Liner for cooler days converts to mesh for warmer days.
  • Quick-to-secure harness system with magnetic buckle and no-rethread harness.
  • Adjustable footrest to aid in child comfort as the child grows.
  • One-handed, multi-position recline can be positioned both forward- and parent-facing.
  • Grow-with-me canopy height adjustment to provide extra headspace.
  • Extendable, water-repellent UPF 50+ canopy and vented peekaboo window for added air flow.
  • Large hubs and adapters ensure quick, easy, and intuitive attachment to Vista.
  • Premium fabrics and full-grain REACH-certified leather details.
  • Suitable for children from 3 months to 40 lbs or 36″, whichever comes first
Dimensions & Weight

Stroller

  • Frame & Seat Weight: 27.6 lbs.
  • Frame Weight: 19.8 lbs.
  • Seat Weight: 7.8 lbs.
  • Unfolded: 36.5" L x 25.7" W x 39.5" H
  • Folded with seat attached: 16.3" L x 25.7" W x 33.8" H
  • Folded without seat attached: 11.3" L x 25.7" W x 32.3" H
What's Included
  • Frame
  • Toddler Seat
  • Seasonal Seat Liner
  • Bumper Bar
  • Toddler Seat Bug Shield
  • Toddler Seat Rain Shield
  • Storage Bag
  • Rumbleseat
  • Lower adapters
  • Rumbleseat Bug Shield

Bassinet, Car seats, and piggyback accessories are sold separately.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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]
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SKU: 73504773407

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A
Verified Purchase
Amazon Customer
Alexandria, 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
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Kindle Customer
Lexington, 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
Belleville, 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
M
Verified Purchase
Moses Kayanda
Bozeman, 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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Verified Purchase
Gabe Rigall
Charlottesville, 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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