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Description
pebble s maxi cosi Maxi Cosi Oxford 9 Piece Select Bundle with Maxi Cosi Pebble S – BabyDoc Shop IrelandIntroduction The Maxi Cosi Oxford 9 Piece Select Travel System Bundle with Maxi Cosi Pebble S Car Seat combines luxury, practicality, and versatility for modern families on the go. Designed to adapt as your child grows, this premium 3 in 1 travel system is perfect for everything from quick errands to long weekend adventuresright from birth up to 4 years old. The bundle also includes the Maxi Cosi Pebble S i Size car seat, offering advanced safety with
Introduction
The Maxi-Cosi Oxford 9-Piece Select Travel System Bundle with Maxi-Cosi Pebble S Car Seat combines luxury, practicality, and versatility for modern families on the go. Designed to adapt as your child grows, this premium 3-in-1 travel system is perfect for everything from quick errands to long weekend adventures—right from birth up to 4 years old.
The bundle also includes the Maxi-Cosi Pebble S i-Size car seat, offering advanced safety with G-CELL side impact protection and a plush, padded interior for comfort from birth to approximately 15 months. Paired with the FamilyFix S ISOFIX Base, car journeys are made effortless with its secure Click & Go installation.
Complete with thoughtful extras like a footmuff, changing bag, rain cover, and cup holder, the Maxi-Cosi Oxford 9 Piece Bundle offers everything you need to support your growing family in style.
Our Maxi Cosi Oxford 9-piece bundle with Maxi Cosi Pebble S Car Seat includes:
- Maxi Cosi Oxford Pushchair
- Comfortable carrycot
- Footmuff
- Changing bag
- Cup holder
- Rain cover
- Car seat adapters
- Maxi Cosi Pebble S car seat
- Isofix base
Expert Advice
Here's some bits we love!
-
Effortless Folding & Storage:
The Oxford’s 2-step folding system is perfect for parents who need a quick and compact fold—ideal for car boots, stairs, or tight storage spaces. -
Parent-Friendly Ergonomics:
The adjustable, full vegan-leather push bar ensures a comfortable grip for parents of all heights, reducing strain on wrists and shoulders during long walks. -
True Lie-Flat Comfort:
Unlike many other strollers, the Oxford offers a genuine lie-flat seat, supporting healthy spine development and safe napping from birth onwards. -
All-Terrain Confidence:
Whether you're on cobbled streets or gravel paths, the soft all-wheel suspension and lockable front wheels make every ride smooth and stable. -
Simple Car Seat Installation:
The Pebble S car seat and FamilyFix S base combine to make every car journey stress-free with their Click & Go installation and top-level i-Size safety compliance. -
Climate-Ready Carrycot:
With breathable fabrics, a reversible dual-season mattress, and ClimaFlow ventilation, the carrycot adapts to keep your baby comfortable in all seasons. -
Thoughtfully Designed Accessories:
From the rain cover and footmuff to the stylish changing bag, every item in the bundle is carefully included to simplify daily outings and keep essentials close at hand.
Key Features & Dimensions
- Easy-in harness with slide adjust, 5-point buckle, and pivotable bumper bar for easy installation.
- The ergonomic push bar with vegan leatherette is designed to be easily gripped and has 5 positions to match every parent’s height.
- Intuitive memory buttons make reversing your stroller seat and releasing your car seat or carrycot easy.
- Use the bar at the rear to climb any obstacle and activate the swivel lock for any uneven, gravel-like surfaces.
- Push-push brake system so you never mess your shoes or hurt your toes.
- Extendable UPF 50+ canopy with see-through ventilation window and sun visor provides optimal protection during naptimes and sunny days.
- Keep your essentials within reach with a spacious 10 kg-capacity storage basket and integrated parent pocket in both the Sense carrycot and the stroller seat.
- Sense’s spacious design makes it perfect for overnight sleeping.
- The reversible memory foam mattress with soft 100% organic cotton on one side and a breathable mesh fabric on the other keeps your baby cosy all year round.
- The Oxford stroller can be used from birth all the way up to 4 years old.
- Clean, modern design featuring fine embroidery and vegan leatherette details and push bar, as well as sustainable 100% recycled Eco Care fabrics.
Maxi-Cosi Oxford Select Bundle Specifications
- Assembled Dimensions: L95.5 x W58 x H110 cm
- Folded Dimensions (with seat unit): L48 x W58 x H68 cm
- Folded Dimensions (chassis with wheels): L30.6 x W58 x H68 cm
- Folded Dimensions (chassis without wheels): L26 x W50.5 x H67.5 cm
- Carrycot Dimensions: L78 x W34 x H66 cm
- Rear Wheel Diameter: 28 cm
- Front Wheel Diameter: 20 cm
- Pushchair Weight: 11.5 kg
- Chassis with Carrycot Weight: 13.5 kg
- Chassis Only Weight: 8 kg
- Carrycot (excl. mattress) Weight: 5 kg
- Carrycot (incl. mattress) Weight: 5.5 kg
- Footmuff Dimensions: W45 x H90 cm
- Footmuff Weight: 0.7 kg
- Changing Bag Dimensions: L17 x W27 x H38 cm
- Changing Bag Weight: 0.53 kg
- Changing Bag Max Capacity: 2 kg
Maxi-Cosi Pebble S Specifications
- Dimensions: D66-75 x W44 x H58-67 cm
- Weight: 3.2 kg
- Suitable for: 40 cm to approx. 83 cm (0 – 15 months)
- G-CELL Side Impact Protection
- i-Size safety standard
- Ergonomic carry handle
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
- 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
4.3 ★★★★★
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Product Reviews
★★★★★ 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
★★★★★ 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