Pay in installments of $6.40 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 19 - Jul 24
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
britax 2017 double stroller Britax 2017 B-Ready StrollerSpecifications Stroller Weight: 28 lbs Age Weight capacity: 6 months to 55 lbs Open Dimensions: 44 L x 24 W x 43. 25 H Folded Dimensions: 42 L x 24 W x 19 H What's NOT Included: Cup holder, tray, rain cover 12 Configurations 12 seating options adapt to your family? s needs with multiple seats, a bassinet or infant car seat. Multiposition Recline The 4 position recline makes it easy to accommodate sleeping infants or attentive toddlers. Adjustable
28 lbs
6 months to 55 lbs
44 L x 24 W x 43.25 H
42 L x 24 W x 19 H
What's NOT Included:
12 Configurations
12 seating options adapt to your family?s needs with multiple seats, a bassinet or infant car seat.
Multiposition Recline
The 4-position recline makes it easy to accommodate sleeping infants or attentive toddlers.
Adjustable Handlebar & Large Canopy
Adjustable handle height with comfort grip raises and lowers to provide the best fit for parents of all heights. An extra-large canopy with ventilation window protects your child from the elements.
Quick & Easy Fold
Quick-fold design easily closes the stroller in seconds, even with two seats attached.
Britax?s B-Ready is the ultimate stroller for families with ever-changing needs. This model features a modern look. The stroller has an elegant slick frame and tires, and the basket is large enough for all of life?s essentials.
Along with its incredible versatility, the B-Ready has easy one-step folding, even with two seats attached. It has 12 seating options, so your child can face you or take in all their surroundings when you go for a stroll. The B-Ready is safe and easy to adjust. With the Click & Go System, the stroller is compatible with any Britax infant car seat ? no additional adapters necessary. It?s also compatible with other major infant car seat brands with a Britax infant car seat adapter (sold separately).
Your little one will love the ultra-smooth ride thanks to the foam-filled rubber tires and suspension system. And with a 4-position recline, they can relax in comfort.
Parenting is full of surprises ? face them head on with the Britax B-Ready.
- Quick-fold design easily closes the stroller in seconds, even with two seats attached.
- 12 seating options adapt to your family?s needs with multiple seats, a bassinet or infant car seat.
- Foam-filled rubber tires with frame suspension system provide a smooth ride without the hassle of air-filled tires.
- Click & Go System allows for a quick connection with any Britax infant car seat or bassinet.
- Travel system-compatible with other major infant car seat brands when used with Britax infant car seat adapter (sold separately).
- Reversible top seat lets your child ride facing forwards or backwards.
- Automatic frame lock safely secures the closed stroller and keeps it compact for traveling or storing.
- Extra-large under-seat storage is accessible from all sides and fits all of life?s essentials.
- 4-position recline makes it easy to accommodate sleeping infants or attentive toddlers.
- Adjustable handle height with comfort grip raises and lowers to provide the best fit for parents of all heights.
- Holds children 6 months old and up to 55 lbs using the stroller?s top seat (included).
- Suitable for newborns when used with infant car seat, bassinet or second seat (sold separately).
- Linked parking brake with red/green indicator locks both rear wheels with a single step.
- Extra-large canopy with ventilation window protects your child from the elements.
- ASTM compliant for top safety.
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
4.1 ★★★★★
Based on 28 reviews
Sort
Product Reviews
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
recommand products
Lil Red Hen Planter – Weeds
22.99
Shop Unique Chicken Planter – Charming Garden Decor for Plants – Elemental Bonsai Nursery
27.76
Veradek Brixton Window Box Planter with Optional Brackets White
21.18
Vertical Garden Tiered Hanging Coconut Shell Plant Pot
28.53
Chicken Planter, Ceramic Flower Pot, Handmade Mexican Pottery of Atzom – LUV2BRD
21.40