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Description
baby twin stroller Bumbleride Indie Twin Double Stroller + Bassinet BundleStay on the move with 2. The Bumbleride Indie Twin side by side double stroller keeps you on the move and outside doing what you love. Known as a parents lifeline with multiple kids, its side by side seat design gives you a smooth and balanced push and allows you to customize the seats to your needs with quick access to each. Have twins? Add dual car seats, dual bassinets or simply convert seats to infant mode with no attachments. Ready to use at
Stay on the move with 2. The Bumbleride Indie Twin side-by-side double stroller keeps you on the move and outside doing what you love. Known as a parent’s lifeline with multiple kids, its side-by-side seat design gives you a smooth and balanced push and allows you to customize the seats to your needs with quick access to each. Have twins? Add dual car seats, dual bassinets or simply convert seats to infant mode with no attachments. Ready to use at birth. Debuting in 2024 with a 100% natural and nontoxic cork handle. Responsibly made and manufactured. (see eco and health checklist).
Highlights:
- Narrow silhouette, fits through a standard doorway
- Balanced & smooth push on air-filled tires with all-wheel suspension
- Quick, compact fold with auto-lock & standing stow
- Spacious canopies offer ample sun coverage UPF 45+
- Individual seats give options for different age ranges
- Health checklist: Non-toxic OEKO-TEX certified fabrics. Free from PFAS, Fire Retardant, PVC, BPA, Phthalates, Polyurethane Foam, Chlorine, Vinyl and Formaldehyde
Eco Checklist:
- Adjustable, non-toxic handlebar made of all-natural cork
- PFAS free durable water repellent
- Eco Fabric made from OEKO-TEX Standard 100 certified 100% recycled PET (90 plastic water bottles per stroller)
- Black colorway uses an innovative solution dye process that conserves approximately 25-40 gallons of water per stroller
- Dusk colorway uses a soft-to-the-touch, poly/wool blend for the interior seat lining certified by the Responsible Wool Standard
- 50% of plastic frame components are sourced from recycled fishing nets
- Plastic free packaging
Indie Twin Tech Specs:
- Recommended Use: Birth – 90 lb. (combined total weight)
- NEW, adjustable, non-toxic, anti-microbial Cork handle with safety strap included
- Adjustable footrests for infant option and deep footwell for toddlers
- Independent seats and canopies for customized comfort
- UPF 45+ canopies with pop-out extension for extra coverage + air vents
- Eco-fabrics free from harmful chemicals including lead, PVC, fire retardants, phthalates and polyurethane foam (100% rPET + OEKO-TEX Standard 100 Certified)
- PFC free durable water repellent (DWR free of PFOA, PFOS & PFASs)
- One step hinged fold with ergonomic, trigger release and auto-lock
- Hot-shoes pre-installed for sue with adapters and bassinets
- One-handed backrest reclines
- Built in storage pockets for water bottles and snacks
- Large cargo basket with storage for air pump (pump included)
- Air-filled tires (12”) and all wheel suspension
- 5-point breakaway harnesses with shoulder pads
- Machine washable seat fabrics + canopies (all removable)
- 360-degree swivel front wheel with in-line lock option for all-terrain
- Lightweight and durable aluminum frame
What’s Included
- 3 Year Warranty
- Air-pump
- Wrist strap
Bumbleride Indie Twin Bassinet
Simply click on the Bumbleride Bassinet to make your Indie Twin stroller a comfortable, parent-facing pram for either one or two infants (if using two). The Bumbleride bassinet provides a safe, infant bed using OEKO-TEX certified 100% recycled polyester fabric, a sturdy, lightweight aluminum base and breathable mattress covered with our 100% GOTS Certified Organic Cotton removeable sheet. The bassinet has a redesigned canopy with a vented window and an added wind guard for extra protection from the elements. It is the perfect accessory for naptime during walks and supervised sleep.
Two bassinets can be attached to accommodate twin infants.
The Bumbleride Indie Twin Bassinet complies with ASTM F-833, SOR/85-379 and EN 1888 safety standards. All fabric complies with Furniture and Furnishings Fire Safety Regulations. We use no polyurethane foam or PVC.
Features
- Suitable from birth to 19lbs (8.5kg), 30"" (75cm) length
- Redesigned with a lighter base to reduce product weight
- Indie Twin can hold one or two bassinets
- Comes standard with organic cotton mattress cover (removable for machine washing)
- Breathable mattress made using polyester honeycomb padding
- Offers a large UPF 45+ canopy with a pop-out extension, zip on wind cover, and one-handed carrying handle.
- Health checklist: OEKO-TEX certified fabrics. Free from PFAS, Fire Retardant, PVC, BPA, Phthalates, Polyurethane Foam, Chlorine, Vinyl and Formaldehyde
- Compatible with 2016 - Current Bumbleride Indie Twin
Specifications
- Unfolded Dimensions: 31.5 L x 13 W x 23 H
- Folded Dimensions: 31.5 L x 13 W x 11 H
- Weight Capacity: 19 lbs (8.5 kg)
- Total Weight: 8 lbs (3.6 kg)
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
4.4 ★★★★★
Based on 24 reviews
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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.
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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
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