SKU: 17052264016
familyfix 360 base maxi cosi

familyfix 360 base maxi cosi Maxi-Cosi FamilyFix 360 Pro Base Slide Spin i-Size RRP£219.99 BRAND New

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Description

familyfix 360 base maxi cosi Maxi-Cosi FamilyFix 360 Pro Base Slide Spin i-Size RRP£219.99 BRAND NewRevolutionary slide out base makes every day easier From birth up to approx. 4 years From 40 to 105 cm, 0 17kg Innovative SlideTech technology Revolutionary sliding car seat technology makes every day easier. No backaches, head bangs or struggles. With the FamilyFix 360 Pro base, simply lock, slide, spin and go! One hand FlexiSpin rotation FamilyFix 360 Pro features FlexiSpin, a 360 degrees rotational system that enables Pebble 360 Pro and Pearl 360

Revolutionary slide out base makes every day easier
From birth up to approx. 4 years
From 40 to 105 cm, 0 - 17kg

Innovative SlideTech™ technology

Revolutionary sliding car seat technology makes every day easier. No backaches, head bangs or struggles. With the FamilyFix 360 Pro base, simply lock, slide, spin and go!

One-hand FlexiSpin rotation

FamilyFix 360 Pro features FlexiSpin, a 360 degrees rotational system that enables Pebble 360 Pro and Pearl 360 Pro to easily rotate using only one hand in any reclined position.

Safe travel from birth up to 4 years

Anti-misuse rotation lock gives peace of mind knowing your baby always travels in the rear-facing position up to approx. 15 months.

Visual installation indicators

Clear and easy installation. Helpful visual indicators let you know when your car seat is correctly installed.

Maxi-Cosi FamilyFix 360 Pro utilizes patented SlideTech™ technology that allows the car seat base to rotate and move closer to you. This revolutionary sliding technology makes it easier to get your child in and out of the car with no strain or hassle, meaning you can quickly and easily lock, slide, spin, and go!

Maxi-Cosi FamilyFix 360 Pro is revolutionizing car seat technology! With the FlexiSpin system, the car seat is easy to rotate with only one hand while always keeping your baby in the safe rear-facing position up to 15 months. Installation is easy, with helpful visual indicators to make sure it’s installed correctly. Enjoy easier every day with no backaches, head bangs, or struggles.

This car seat base is designed to the highest i-Size safety standards and provides safe travel for your little one from birth up to 4 years. Installation is easy and reliable with ISOFIX and smart anti-misuse rotation locks, plus visual indicators to ensure correct installation. Have extra peace of mind knowing your baby is always safely in the rear-facing position for up to 15 months.

The Maxi-Cosi FamilyFix 360 Pro features SlideTech™ technology, making everyday life easier. With a single hand, you can seamlessly lock, slide, spin, and go! The patented sliding technology allows your child to effortlessly be brought closer to you, while FlexiSpin rotation allows for smooth and easy spinning in any recline position. Make the everyday hassle-free with the FamilyFix 360 Pro!

The Maxi-Cosi FamilyFix 360 Pro combines maximum safety, comfort and convenience. The base can be used from birth up to 4 years with compatible car seats, while the Pebble 360 Pro infant seat offers comfort up to 15 months.  

Maxi-Cosi FamilyFix 360 Pro is made for maximum ease and convenience for parents. Parents can be assured that their children are properly supported by the AGR-approved ergonomics and SlideTech™ technology, with FlexiSpin allowing for one-handed rotation in any reclined position. It's the perfect balance for maximized safety and peace of mind.

Key Features

  • ISOFIX installation base
  • Innovative SlideTech™ technology
  • One-hand FlexiSpin rotation 
  • Safe travel from birth up to 4 years
  • Visual installation indicators 
  • Highest i-Size safety standards
  • Rearward & forward facing 
  • Ease of use 
  • From birth up to approximately 15 months old 

Specifications

  • ISOFIX installation base
  • Rearward & forward facing 
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SKU: 17052264016

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4.4 ★★★★★
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Walter Echo-Hawk, author of THE SEA OF GRASS.
Bozeman, 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
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Verified Purchase
Par
Carnegie, 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
R
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
A
Verified Purchase
Amazon Customer
New York, 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
Port Orchard, 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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