SKU: 4966023497
car seat stroller travel

car seat stroller travel Maxi Cosi Tayla Max 5 in 1 Travel System

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Description

car seat stroller travel Maxi Cosi Tayla Max 5 in 1 Travel SystemThis Maxi Cosi bundle comes with the Peri 180 Rotating Infant Car Seat and Tayla Max Modular Stroller, both in the Onyx Wonder fashion, usually sold separately. Pairing the pieces together creates a travel system that can be used from birth. Maxi Cosi Tayla Max Modular Stroller This stroller offers multiple modes of use to carry your newborn through toddlerhood, upright or fully reclined and facing you or the world ahead. The unique QuikCarriage

This Maxi-Cosi bundle comes with the Peri 180 Rotating Infant Car Seat and Tayla Max Modular Stroller, both in the Onyx Wonder fashion, usually sold separately. Pairing the pieces together creates a travel system that can be used from birth.

Maxi-Cosi Tayla Max Modular Stroller

This stroller offers multiple modes of use to carry your newborn through toddlerhood, upright or fully reclined and facing you or the world ahead. The unique QuikCarriage feature allows the upright stroller seat to convert to a lie-flat carriage so you can easily change positions.

In stroller mode, choose from four reclining positions to give your little one a relaxing ride. The 360° MaxShade canopy provides UPF 50 protection and unzips to extend the mesh privacy panel, which covers the entire seat. Stay connected and provide added ventilation by unzipping the mesh peek-a-boo window. The seat cushion is both machine washable and reversible: choose breathable mesh fabric for warmer days and cozy knit for cooler ones.

Tuck all you need for your excursions in the extra-large storage basket that holds up to 25 lbs. It also has a lightweight frame with SmoothRide tire technology for nimble maneuvering and four handle positions for a more comfortable push.

Maxi-Cosi Peri 180 Rotating Infant Car Seat & Base

Make their world go ‘round with Peri™ 180°, our new rotating infant car seat featuring FlexiSpin rotation technology. Peri makes getting your little one in and out of their car seat easier than ever and reduces back strain. It is also the lightest rotating infant car seat available at under 8 lbs.*, so carrying it is a breeze. For rear-facing babies from 4–30 lbs. and up to 32".

Peri 180° also features TensionFix™, which solves the most common installation problem 7 out of 10 parents unknowingly have––loose vehicle belt tension. TensionFix is our patent-pending red-to-green indicator that shows you when your belt has tension. We designed Peri with thoughtful features to make the journey with your little one easier for you both. Parents will love that they don’t need to rethread the QuikFit harness when baby grows, as the 6-position headrest and harness can be easily adjusted at the same time with one hand. 5 recline positions provide a better fit during installation. Our ClipQuik™ Magnetic Chest Clip is designed for fast, struggle-free buckling. And our new canopy design zips out to extend, providing full-coverage sun protection and privacy for your little one.

For a car seat this special, we knew we needed a fresh, new name. And what says “new” better than the color green. Short for peridot, the beautiful green gemstone, symbolizing newness and calm, Peri’s here to bring the calm to your car rides.

*without canopy and inserts, which weigh approx. 1 lb.

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SKU: 4966023497

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Walter Echo-Hawk, author of THE SEA OF GRASS.
Fort Morgan, 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
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Verified Purchase
Par
Waukegan, 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
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Verified Purchase
Richard Hackathorn
San Leandro, 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
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Verified Purchase
Amazon Customer
Chelsea, 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
Omaha, 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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