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Description
uppababy bassinet for stroller UPPAbaby Vista V3 Stroller + Bassinet V3 BundleOne for all. Our Vista stroller is intuitively designed to grow with your family! It starts as a single stroller but can easily transform to accommodate up to three children with added accessories and adapters becoming the ultimate in portability and convenience! Features All Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days Enhanced FlexRide Strolling Suspension delivers a smooth ride whether strolling
One for all.®
Our Vista stroller is intuitively designed to “grow” with your family! It starts as a single stroller but can easily transform to accommodate up to three children with added accessories and adapters — becoming the ultimate in portability and convenience!
Features
- All-Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days
- Enhanced FlexRide Strolling Suspension delivers a smooth ride whether strolling with 1, 2, or 3
- Quick-to-secure harness system with magnetic buckle and easy-to-adjust, no-rethread harness
- Parent-facing and forward-facing full size, toddler seat grows with child up to 50 lbs
- Effortlessly folds in one simple step & stands when folded for compact storage
- Extendable, water-repellent UPF 50+ canopy and easy-to-peek window for added air flow
- Extra-large, easy-access basket with 30 lb. weight limit to easily store all your essentials while strolling
- Premium fabrics and full-grain REACH certified leather details
- Never flat tires for durability and smooth strolling through various terrain
- Reflective trims on wheels and basket to enhance visibility while strolling
- Ability to transport up to three children with RumbleSeat and PiggyBack accessories
- One-handed multi-position recline for those “resting strolls”
- Extendable water-repellant canopy with UPF 50+ protection, zip-out fabric, and mesh panels with covering for added protection for any weather
- One-hand, adjustable handlebar to better accommodate different heights
- Front wheel locks with visual indicators for parent’s piece of mind
- Adjustable footrest positions feet and legs comfortably as they grow
- GREENGUARD® Gold certified to support healthier air quality & low chemical emissions
Specifications
- Toddler Seat: 3 months to 50 lb; suitable from birth with Infant SnugSeat or Bassinet accessory (sold separately)
- Weight
- Frame & Seat: 27 lbs
- Frame: 20 lbs
- Seat: 7 lbs
- Bassinet: 8.8 lbs
- Unfolded: 36″ L x 25.7″ W x 39.5″ H
- Folded with seat attached: 17.3″ L x 25.7″ W x 33.3″ H
- Folded without seat attached: 13″ L x 25.7″ W x 32″ H
UPPAbaby Bassinet V3
Take your Bassinet from boulevard to bedroom by snapping it into the secure and elevated Bassinet Stand.
Features
- Quick zip, cross ventilation panels that can be opened for greater airflow or closed for added warmth
- Foam-free air mesh mattress for maximum breathability and safe overnight sleep solution
- Dual zipper on bassinet boot cover easily opens and closes to tend to baby
- Collapsable design for easy stow away whether traveling or limited in space
- Vented window on base with covering bringing air flow from bottom to top
- Extendable, UPF 50+ sunshade and mesh panels for air flow
- Carry handle with an effortless one-hand stroller release for easy on-and-off attachment
- Zip-out, water-repellent inner liner and boot cover are easy to remove and clean
- Easy attachment options to stroller with indicators for extra security
- Included Bug Shield to protect from outdoor elements
- Fits directly onto Bassinet Stand Accessory
- GREENGUARD® Gold certified to support healthier air quality & low chemical emissions
Specifications
- Bassinet suitable from birth to 20 lbs or until infant can push up on hands and knees, whichever comes first
What's In The Bundle:
- Frame
- Toddler Seat
- Seasonal Seat Liner
- Bumper Bar
- Toddler Seat Bug Shield
- Toddler Seat Rain Shield
- Toddler Seat Storage Bag
- 3-Year Warranty
- Bassinet
- Bassinet Bug Shield
- Bassinet Mattress
- Bassinet Mattress Cover
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.
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4.1 ★★★★★
Based on 6 reviews
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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.
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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!
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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.
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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.
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Reviewed in the United States on February 26, 2022