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Description
bugaboo turtle air vs nuna pipa lite rx Nuna PIPA™ Aire RX Infant Car Seat + RELX BaseWho says security can't be super stylish? Lighten your load and up your style game. That's the PIPA aire rx motto. Whether it's the sleek design elements or the smart security features that catch your eye, the PIPA aire rx car seat is all about hassle free adventures with all the perks. Light on weight, heavy on style, its your go anywhere, do anything partner thats in it for the long haul. In the world of PIPA aire rx, casual meets cool, and carrying
Who says security can't be super stylish?
Lighten your load and up your style game. That's the PIPA aire rx motto. Whether it's the sleek design elements or the smart security features that catch your eye, the PIPA aire rx car seat is all about hassle-free adventures with all the perks.
Light on weight, heavy on style, it’s your go-anywhere, do-anything partner that’s in it for the long haul. In the world of PIPA aire rx, casual meets cool, and carrying less is the ultimate flex.
Now, you can carry less, do more, and look good doing it. Your refined taste for baby adventures deserves an equal match.
PIPA AIRE RX
- FAA certified for aircraft use with or without a base
- Connects with all Nuna strollers to create a stylish travel system
- 5-second steel-reinforced True lock™ installation makes set up swift, simple, and safe
- Side Impact Protection (SIP) for ultimate baby safekeeping
- Open belt path with lock off secures lap and shoulder belt
- Features Aeroflex™ foam that is cleverly lightweight, resilient, and minimizes force transferred to baby
- 3-position height-adjustable headrest and 5-point harness keeps little ones in place
- Removable infant head and body inserts nestle baby in comfort and security
- Tailor tech™ memory foam seat panel and headrest provides a comfortable custom fit
- UPF 50+ canopy with 2 positions and a flip-out eyeshade protects from sun exposure
- The iconic Sky drape™ provides baby with ultimate privacy for quiet moments
- Soft yet durable micro-knit fabric for refined style and casual warmth
- Super-resilient top-of-the-line plastics for a heavy-duty secure shell
- Exposed aerospace aluminum handle adds a contemporary aesthetic and enhances the seat's intuitive functionality
- Luxe leatherette carry handle for more secure gripping
- From fabric to foam and beyond each element is smartly sourced to be both flame-resistant and contain no added fire-retardant chemicals making it safer for baby
- Infant head and body inserts are made of environmentally friendly Merino wool and TENCEL™ lyocell fiber blend that is soft, naturally controls moisture, and is environmentally friendly
- 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
- Additional GOTS organic cotton infant insert and harness cover set
RELX Base
- 5 second True lock™ installation makes set up swift, simple and above all – safe
- Crumple zone within the stability leg absorbs impact and minimizes force transferred to baby
- Locking 3 piece steel stability leg has a wide range of adjustment to fit most vehicles including middle seats
- 4 positions on-the-go recline
- 4 position adjustable rigid latch to remove or reduce the gap between vehicle seat and base
- Bubble free recline angle guides clearly confirm the perfect riding angle
- Colored installation indicators confirm correct connections to the vehicle
- Indicators on rigid latch turn green when clicked to vehicle anchor points
- Indicators on stability leg turn green when in proper contact with vehicle floor
- Low profile base for easier loading of infant seat
- Open belt path for easier install
- Belt guides
- Anti rebound panel
- Automatic rigid latch storage
- Extra convenient load leg storage with lock
- Steel reinforced true lock™ rigid latch
- Seat belt lock off with separate lap and belt paths
- Recommended use: 4 to 30 lbs and up to 30 in.
- Product: L 27.25 in x W 17.5 in x H 23 in
- Weight: 6.2 lbs (weight does not include canopy or insert)
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4.1 ★★★★★
Based on 27 reviews
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Product Reviews
★★★★★ 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
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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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