SKU: 49693088008
maxi cosi lara bumper bar

maxi cosi lara bumper bar Maxi Cosi Lara Ultracompact Stroller

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Description

maxi cosi lara bumper bar Maxi Cosi Lara Ultracompact StrollerReady for Small Spaces and Big Adventures The ultra light and compact Lara stroller is ready to travel everywhere with ease. Because having a baby doesn't mean you have to stop enjoying all of your favorite adventures, such as dining out, shopping, or traveling on vacation. Conveniently Compact and Lightweight With the super convenient Lara, its easy to navigate through your day to day travels. It maneuvers with ease around every turn, folds compactly

Ready for Small Spaces and Big Adventures

The ultra-light and compact Lara stroller is ready to travel everywhere with ease. Because having a baby doesn't mean you have to stop enjoying all of your favorite adventures, such as dining out, shopping, or traveling on vacation.

Conveniently Compact and Lightweight

With the super convenient Lara, it’s easy to navigate through your day-to-day travels. It maneuvers with ease around every turn, folds compactly with a simple touch, and loads effortlessly into the smallest of spaces. It’s ultra-light and once you’ve arrived at your destination, it easily carries over your shoulder with a comfy strap and is a breeze to bring inside or upstairs.

Plenty of Storage Space

With every family trip, there can be the added stress of wondering where you’re going to put all of your child’s accessories. Unique to the Lara, you’ll find two easy-to-access storage baskets. Now you can plan each adventure knowing that you’ll have enough room for items you’ll need along the way, such as diapers, spare clothes, snacks—even a few of your own things.

Premium Comfort and Sun Protection

Additionally, the Lara features two riding positions: upright and recline. The upright position is perfect for times when baby is alert and eager to see the world ahead. The recline position, equipped with a convenient leg rest, is ideal for taking those much-needed naps. The breathable seat pad keeps baby comfy and cool, while the ultra-padded plush fabrics provide premium comfort with every ride. On those bright and sunny days, the extendable sunshade with UPF 50 helps protect your child. Plus, the parent cup holder offers a convenient place to keep your drink during strolls.

Integrated Travel Bag

The Lara has an integrated protective travel bag that tucks away under the seat. No more trying to remember where you've stored the travel bag in the house. It stays folded neatly under the seat ready for use when needed.

The Lara is ideal for families who enjoy big adventures with a little extra convenience. No matter where you need to be, the Lara will be by your side.

Features

  • Ultra-compact and lightweight at only 14 lb
  • Comfortable carry strap makes it easy to tote around when folded.
  • Simple one-hand quick fold
  • Two baskets for extra storage
  • Breathable seat pad keeps baby cool
  • Removable ultra-padded head rest offers premium comfort
  • Multiple reclining positions
  • Adjustable footrest provides leg support
  • Extendable protective sunshade with UPF 50 and mesh peek-a-boo window
  • Protective travel bag folds neatly into its designated pouch and ready for use when needed
  • Removable weather guard is included for those surprise showers or windy days
  • All-wheel suspension for a smooth ride
  • Lockable front swivel wheels
  • Removable bumper bar can be released from one side for easy in and out
  • Cupholder included

Specification

  • Dimensions: 29" x 20" x 41"
  • Product weight: 14.8lbs
  • Recommended for ages 6m+
  • Maximum weight for use: 50lbs
Shipping Notes
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Exchange/Return Notes
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SKU: 49693088008

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4.1 ★★★★★
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Belleville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 1, 2019
P
Verified Purchase
Par
Omaha, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Houston, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Pawtucket, 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
Draper, 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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