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Description
nuna stroller compact Nuna TRIV Next StrollerA morning stroll to the park or afternoons in your favorite coffee spot, everyday out and abouts with baby are fuss free with the Nuna TRIV next stroller. Its a natural city dweller that quickly converts to a travel system, packs up easily, and stands on its own when folded, becoming the perfect sidekick to your everyday adventures. Engineered for convenience and comfort, the all wheel suspension, one touch braking system, and large rear wheels
A morning stroll to the park or afternoons in your favorite coffee spot, everyday out and abouts with baby are fuss-free with the Nuna TRIV next stroller. It’s a natural city dweller that quickly converts to a travel system, packs up easily, and stands on its own when folded, becoming the perfect sidekick to your everyday adventures.
Engineered for convenience and comfort, the all-wheel suspension, one-touch braking system, and large rear wheels promise easy maneuverability and cushiony smooth city strolls—like riding on air with complete peace of mind.
This compact fold stroller is cleverly designed with a seat that faces and folds both ways, no matter what direction baby's facing. The all-season seat keeps your precious cargo snug in winter and converts to breathable mesh in summer.
Every parent needs a trusty travel companion to enjoy those everyday adventures waiting around the corner.
Use
- Travel system ready—simply attach a Nuna PIPA™ series infant car seat to the included ring adapter
- Ring adapter folds with the stroller—no need to remove with the car seat
- Folds up quickly with one hand and stands on its own
- Seat faces both ways and stroller folds flat no matter what direction baby’s been facing
Safety
- MagneTech secure snap™ is a self-guiding magnetic buckle that automatically locks into place
- Quick-release 5-point, no-rethread harness converts to a 3-point harness
- Swivel lock front wheels
Comfort
- Durable footrest for a more comfortable ride
- Spring suspension technology under the seat for smooth rides
- 1-hand, on-the-go recline and height-adjustable pushbar
- All-wheel suspension and simple 1-touch rear-wheel braking system
- 3-position recline and adjustable calf support for customized comfort
- All-season seat keeps baby cozy in winter and easily converts to mesh in summer
Premium Details
- Red Dot Product Design Winner 2022
- Water-repellent UPF 50+ canopy is extendable and features a flip-out eyeshade and window
- Easy access zippered storage pocket and oversized shopping basket for all the essentials
- Luxe leatherette accented pushbar and removable armbar lend style to your stroll
- Rubber tires are tough, foam-filled and ready for any terrain
- Removable insert is lightweight and lightly textured with Merino wool and
- TENCEL* lyocell (*TENCEL™ is a trademark of Lenzing AG)
- GREENGUARD Gold Certified to meet some of the world's most rigorous third-party chemical emissions standards and certified to not contribute to indoor air pollution or chemical exposure
BMW Collection
- Metal BMW badge on peek-a-boo window flap
- BMW Trinity pattern specially stitched into the seat fabric and black luxe leatherette accents
- Embroidered BMW logo on calf support and infant insert
- Stately black matte frame accented with the iconic BMW Trinity pattern
- Enhanced wheels with the BMW logo in the center of the spokes
Specifications
- Recommended Use: Up to 50 lbs
- 18.4 lbs without insert, armbar, and canopy (insert, armbar, and canopy approx. 2.6 lbs)
What's In The Box
- TRIV Next
- Ring Adapter
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4.6 ★★★★★
Based on 8 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