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Description
travelling with uppababy cruz Cruz V3 + Mesa V3 Travel SystemThe Cruz V3 combines a sleek, streamlined design with versatile functionality, offering effortless maneuverability from newborn to toddler. The perfect solution for families seeking a single, full size stroller thats smooth and easy to use, without weighing you down. Features Sleek, streamlined design with full size Toddler Seat Integrated foot barrier & Infant Insert for carriage mode Simple triggers for an ultra compact fold Enhanced FlexRide
The Cruz® V3 combines a sleek, streamlined design with versatile functionality, offering effortless maneuverability from newborn to toddler. The perfect solution for families seeking a single, full-size stroller that’s smooth and easy to use, without weighing you down.
Features
- Sleek, streamlined design with full-size
- Toddler Seat Integrated foot barrier & Infant Insert for carriage mode
- Simple triggers for an ultra-compact fold
- Enhanced FlexRide Suspension for smooth strolls
- Bassinet, Mesa®, and Aria™ Infant Car Seats attach directly to stroller without adapters
- One-hand adjustable leg rest and recline to cater to your child’s comfort at every stage
- Reflective trims on wheels to enhance visibility while strolling
- Integrated sun shield in canopy for extra sunny days
- Never-flat tires with front wheel lock option offers enhanced control
- Extra-large storage basket that offers ample room without compromising the compact fold
- One-hand, adjustable handlebar to better accommodate different heights
- Premium fabrics and full-grain, REACH-certified leather details
Specifications
- Suitable from birth to 50 lbs and maximum height of 40”
- Frame + Seat Weight: 26.5 lbs
- Frame Weight: 17 lbs
- Seat: 9.5 lbs
- Unfolded: 37.5” L x 22.5” W x 41.8” H
- Folded with seat attached: 17” L x 22.5” W x 32.4” H
- Folded without seat attached: 13.5” L x 22.5” W x 30.3” H
What's In The Box
- Stroller
- Infant Insert
- Toddler Seat Bug Shield
- Toddler Seat Rain Shield
Mesa V3 Infant Car Seat
The Mesa V3 sets a new standard in infant car seat safety with patented technology that simplifies installation, minimizes errors, and empowers parents to move forward with confidence. Designed for maximum ease and security, it provides convenience and comfort with every detail, for every drive.
Features
Carrier:
- 4th anti-rebound handle position for increased safety in rebound & rear-impact collisions
- Large, adjustable headrest for additional Side Impact Performance and comfortable fit
- Advanced Side Impact Protection that meets FMVSS New 213A regulation and 213B
- Deluxe, full coverage UPF 50+ canopy with mesh ventilation and peek-a-boo window
- Robust Infant Insert designed to optimize fit and body positioning
- No-rethread 5-point harness that adjusts with headrest
- Headrest totals 25 positions to ensure proper fit and ease of adjustment
- Intuitive, magnetic buckle holder to keep the straps out of the way while placing child in seat
- Installation quick and simple by combining our innovative SmartSecure® system, auto-retracting LATCH design, red to green tightness indicator, and four-position adjustable foot
- European Routing for a more secure installation when installing without the base
- Robust infant insert ensures a proper fit and body positioning for infants weighing as little as 4 lbs
- Ergonomic carry handle featuring a one-handed stroller release button
- Two crotch buckle positions for a precise fit
- Removable and washable seat fabric for convenience and easy clean up
- Fabric free from flame-retardant chemicals
- Carrier weighs under 10 lbs
- Car seat base included
- Direct attachment for Vista® and Cruz® strollers
- Convenient adapters available for the Minu® and Ridge® strollers
- FAA certified for aircraft use
- Product Lifetime Warranty
Base:
- SMARTSecure® System installs in seconds
- Red-to-green tightness indicator for an accurate installation
- Built-in lock-off for secure seatbelt installation
- Auto-Retracting LATCH for easy installation
- Level indicators on both sides for ease of installation
- Streamlined, low-profile base with finished bottom
- Four-position adjustable foot for easy leveling
Specifications
- Approximately 0–1 years
- Suitable from birth (4 lbs - 30 lbs and up to 32” in height) - whichever comes first
- Car Seat dimensions: 17”W x 25.8”L x 23”H
- Car Seat on base dimensions: 17”W x 28”L x 25”H
- Car Seat base-only dimensions: 14.5”W x 21.3”L x 10.3”H
- Car Seat 9.9 lbs
- Base 9 lbs
What's In The Box
- Infant Car Seat
- Base
- Robust Infant Insert
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
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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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4.8 ★★★★★
Based on 22 reviews
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Product Reviews
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
★★★★★ 5
Need to read book
Format: Hardcover
The truth about the Native people.
THANK YOU Kent for writing this book.
We purchased about 12 total.
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Reviewed in the United States on November 24, 2019
★★★★★ 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
★★★★★ 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
★★★★★ 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