SKU: 82037947129
bugaboo air turtle by nuna

bugaboo air turtle by nuna Bugaboo Turtle Air Shield by Nuna Car Seat & Base

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Description

bugaboo air turtle by nuna Bugaboo Turtle Air Shield by Nuna Car Seat & BaseUltra light and easy to transport Ultra lightweight design, making it easy to lift and carry. The Bugaboo Turtle Air by Nuna is tested with Bugaboo Ant, Bee, Donkey, Fox and Lynx strollers only so you can transition your baby from stroller to car and back without waking them up. Ultra soft and comfy The high quality merino wool is perfect for your newborn. It will help regulate their temperature and feel as soothing as if they were in your arms.

Ultra light and easy to transport

Ultra lightweight design, making it easy to lift and carry. The Bugaboo Turtle Air by Nuna is tested with Bugaboo Ant, Bee, Donkey, Fox and Lynx strollers only so you can transition your baby from stroller to car and back without waking them up.

Ultra soft and comfy

The high quality merino wool is perfect for your newborn. It will help regulate their temperature and feel as soothing as if they were in your arms.

Perfect fit as your baby grows

The baby inlay helps to snugly secure your baby in the seat. Combined with the adjustable head support, it lets you adjust the seat as your baby grows, making them feel comfy all the way.

Innovative Sun Canopy Design

The sun canopy comes with a peekaboo window and UPF 50+ protection. The smart visor with magnetic clips is easy to use and helps you transition your baby while letting them sleep undisturbed.

Security wherever you go

Rigorously tested and certified for security on the road. The 5-point harness is adjustable and easy to buckle & unbuckle, ensuring you're always ready to ride, stroll and go.

Bugaboo Turtle Air by Nuna Car Seat Features:

• 7-position adjustable head-support for the perfect fit

• No re-thread 5-point harness for maximum security with chest clip

• Merino wool mix baby insert for optimal climate control

• Nuna patented Tailor tech™ memory foam offers ultimate side impact security

• Ultra light, just over 7 lbs

• Seriously protective thanks to: Aeroflex™ foam that is cleverly lightweight, resilient and minimizes force transferred to baby by absorbing & diffusing energy

• Oeko-Tex® certified fabrics are also removable & washable

• Snooze shade’ for a quiet cocoon and canopy providing UPF 50+ protection

• Magnetic buckle holder to help placing the baby in the seat even easier

• Ergonomic carry handle

• Signature bugaboo canopy with mesh peek-a-boo

• Belt path for taxis and rides without base, ideal for city living

• The Bugaboo Turtle Air by Nuna is compatible only with Bugaboo strollers, Donkey, Fox, Lynx, Bee, Ant, and Cameleon 3/3+

• *Adapters required and sold separately.

Bugaboo Turtle Air by Nuna Recline Base Features:

• Multi-position steel stability leg for improved fit vehicles

• Open belt path for easier install

• Bubble free 4 position recline angle guides clearly confirm the perfect riding angle

• 4-position adjustable latch to reduce the gap between vehicle seat and base

• This recline base is compatible with the Bugaboo Turtle Air by Nuna, Bugaboo Turtle One by Nuna, and the original Bugaboo Turtle by Nuna infant car seats.


Weight:

Black Car Seat Weight (including canopy + insert): 8.71 lbs
Black Car Seat Weight (excluding canopy + insert):  7.10 lbs

Grey Melange Car Seat Weight (including canopy + insert): 8.89 lbs
Grey Melange Car Seat Weight (excluding canopy + insert): 7.06 lbs

Recline Base Weight: 17.20 lbs

The Bugaboo Turtle Air by Nuna is compatible only with Bugaboo strollers, Donkey, Fox, Lynx, Bee, Ant, and Cameleon 3/3+

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SKU: 82037947129

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C
Verified Purchase
Carol
Phoenix, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 24, 2019
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
Port Orchard, 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
Alexandria, 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
New York, 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
Birmingham, 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

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