SKU: 19446157458
all black stroller travel system

all black stroller travel system UPPAbaby Vista V2 Stroller, Jake

$21.84 $24.27
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Ships within 48 hours · Estimated delivery Aug 9 - Aug 14

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Description

all black stroller travel system UPPAbaby Vista V2 Stroller, JakeUPPAbaby Vista V2 Stroller + Aria V2 Infant Car Seat Travel System Enjoy a beautifully coordinated travel system designed for families who want premium versatility, lightweight convenience, and trusted safety from day one. The UPPAbaby Vista V2 pairs seamlessly with the Aria V2 Infant Car Seat to create a full featured bundle that makes every outing easierfrom newborn strolls with the bassinet to everyday adventures with your growing child. Confidence

UPPAbaby Vista V2 Stroller + Aria V2 Infant Car Seat Travel System

Enjoy a beautifully coordinated travel system designed for families who want premium versatility, lightweight convenience, and trusted safety from day one. The UPPAbaby Vista V2 pairs seamlessly with the Aria V2 Infant Car Seat to create a full-featured bundle that makes every outing easier—from newborn strolls with the bassinet to everyday adventures with your growing child.

Confidence in Every Purchase

Authorized Dealer  •  3-Year Manufacturer’s Warranty  •  Stress-Free Shopping

Shop with peace of mind knowing your purchase is authentic, backed by manufacturer support, and eligible for a full 3-year manufacturer’s warranty when registered within 3 months of purchase at uppababy.com.

Why Families Love This Bundle

✓ Complete travel system with Vista V2 stroller, bassinet, toddler seat, and Aria V2 infant car seat with base

✓ Direct attachment of the Aria V2 to the Vista V2 for smooth car-to-stroller transitions

✓ Premium features designed for comfort, safety, and everyday convenience

✓ Grows with your family, with the ability to transport up to three children with additional accessories

✓ Luxury details, high-quality materials, and thoughtful engineering throughout

Vista V2 Stroller Features

Bassinet

✓ Perforated mattress pad, vented base, and canopy for enhanced breathability

✓ Extendable, pop-out UPF 50+ sunshade

✓ One-handed release from the stroller frame

✓ Deep, ventilated design suitable for overnight sleep

✓ Zip-out, water-repellent inner liner and boot cover for easy cleaning

Toddler Seat / Frame

✓ Full-size, reversible toddler seat

✓ Five-point, no-rethread harness

✓ Extendable canopy with UPF 50+ protection, zip-out fabric, and mesh panels

✓ Vented peekaboo window for visibility and airflow

✓ One-handed, multi-position recline

✓ Adjustable handlebar for parents of different heights

✓ Extra-large, easy-access basket with a 30 lb weight limit

✓ All-wheel suspension for a smoother ride

✓ Front wheel locks with visual indicators

✓ Aria V2 Infant Car Seat attaches directly to the stroller

✓ 100% full-grain leather accents

✓ One-step fold design that stands on its own when folded

Vista V2 Stroller Specifications

Bassinet: Suitable from birth up to 20 lbs or until baby can push up on hands and knees, whichever comes first

Toddler Seat: Suitable from 3 months up to 50 lbs

True Weight (includes canopy, wheels, and basket):

✓ Frame + Seat: 27 lbs

✓ Frame: 20 lbs

✓ Seat: 7 lbs

✓ Bassinet: 8.8 lbs

Dimensions:

✓ 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

Aria V2 Infant Car Seat Features

Car Seat

✓ Featherweight design at just 5.9 lbs (without insert and canopy)

✓ Extra-large UPF 50+ canopy with pop-out sunshade and ventilation

✓ Two-piece infant insert for preemies from approximately 4 lbs up to 4 months

✓ Side Impact Protection with enhanced head containment and energy-absorbing materials

✓ No-rethread harness with adjustable headrest for a customized fit as baby grows

✓ Ergonomic aluminum carry handle designed for stability and portability

✓ Back panel ventilation for added airflow

✓ Removable, machine-washable fabrics

✓ FAA approved for aircraft use

✓ Fits babies from 4–30 lbs and up to 30 inches tall

Base

✓ Included base with load leg for additional stability and energy absorption

✓ Anti-Rebound+ panel for increased safety

✓ SmartSecure® System with red-to-green visual indicator

✓ Auto-retracting LATCH for effortless installation

✓ Built-in lock-off for secure seatbelt installation

✓ Four-position adjustable foot for easy leveling

✓ Narrow footprint to help maximize backseat space

✓ Bubble level indicators on both sides for proper installation

Aria V2 Specifications

Age Range: Approximately 0–1 year

Weight and Height Limit: 4–30 lbs or up to 30” in height, whichever comes first (US only)

Included Infant Insert: Two-piece insert for babies approximately from 4 lbs to 4 months

Weight:

✓ Carrier: 5.9 lbs (without insert and canopy)

✓ Base: 12.6 lbs

Dimensions:

✓ Carrier: 24.5” L x 17” W x 18.5” H

✓ Base: 23.9” L x 14” W x 15.2” H

What’s Included

✓ Vista V2 Stroller

✓ Bassinet

✓ Toddler Seat

✓ Toddler Seat Bug Shield

✓ Toddler Seat Rain Shield

✓ Bassinet Bug Shield

✓ Bassinet Storage Bag

✓ Aria V2 Infant Car Seat

✓ Aria V2 Car Seat Base

✓ Robust Infant Insert for Aria V2

Peace of Mind, Built In

This thoughtfully curated bundle delivers everything you need to keep your baby safe, comfortable, and supported from newborn through toddlerhood. When you shop with us, you are purchasing from an authorized dealer, receiving an authentic product backed by manufacturer support, and enjoying a simple, secure, and stress-free shopping experience. For added peace of mind, customers may receive the full 3-year manufacturer’s warranty by registering the product within 3 months of purchase at uppababy.com.

Please note: This item may require a signature upon delivery.

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]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 19446157458

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Walter Echo-Hawk, author of THE SEA OF GRASS.
Massapequa, US
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
P
Verified Purchase
Par
Fort Morgan, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Louisville, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
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Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
New York, 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
Belleville, 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

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