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Description
cybex arc trainer full body Cybex 625AT Arc Trainer with E3 ConsoleA total body cross trainer created for the most demanding users in the most demanding environment. The versatility of the 625AT Arc Trainer means that a single unit can satisfy a diverse range of user needs and desires. Product Features LOAD DEPENDENT: The Arc is load dependent which means that resistance is scaled to the user's weight. Two exercisers, a man who weighs 230 lbs and the other a woman who weighs 120 lbs, both get the same workout when
A total body cross trainer created for the most demanding users in the most demanding environment. The versatility of the 625AT Arc Trainer® means that a single unit can satisfy a diverse range of user needs and desires.
Product Features
- LOAD DEPENDENT: The Arc is load dependent which means that resistance is scaled to the user's weight. Two exercisers, a man who weighs 230 lbs and the other a woman who weighs 120 lbs, both get the same workout when they enter the same program levels and their own weight. The perfect workout ... and only Cybex has it.
- REVERSE ARC MOVEMENT: This is what makes the Arc an Arc. The unique Reverse Arc motion, a patented advanced stride technology, never places the user’s toe behind the knee (when the toe moves behind the knee significantly more stress is applied to the knee joint). The Reverse Arc Motion moves legs in a biomechanically correct pathway - reducing stress at the knee while offering a complete range of motion for both the knee and hip.
- SAME SIDE FORWARD: With Same Side Forward (SSF), the arm and leg on the same side move together, so that the relationship with the arm handle and footplate remains the same regardless of incline. This allows the user to always maintain optimal posture during exercise which virtually eliminates stress on the back. Other cross trainers, with arms and legs moving in opposite directions, lack the ability to maintain correct body positioning throughout the incline range.
- MUSCLE TARGETING: The wide range of resistance and incline makes the Arc Trainer unique. From the deconditioned to professional athletes, it is right for everyone! Using this broad incline and resistance range, anyone using this product will notice they have the ability to emphasize specific muscle groups, whether at higher incline levels as a stepping motion to work the quads or lower levels of incline with increased resistance to firm up the butt!
- GLIDE, STRIDE, AND CLIMB ZONES: The Arc offers three exercise zones for the ultimate in variety: Low position is for the “Glide”; Medium position called the “Stride” and High position for the “Climb”.
- LONG INPUT ARMS: The Arc Trainer is equipped with long input arms with a more linear path versus the shorter handles found on other cross trainers. This near linear path minimizes painful wrist articulation allowing you to get a better upper body workout and maintain good posture.
- PROGRAMS: Quick Start, Manual, three Weight Loss, three Cardio, two Strength and Heart Rate Control. Programs have 10 levels and control both incline and resistance.
- CUSTOM COLORS: Why stick with silver gray when you choose from any of our five standard colors (white, black, platinum sparkle, metal tone gold, black chrome)? Or ... select from over 180 custom colors to match any decor. Only Cybex offers color customization in CV and strength equipment.
Specifications
- Incline Levels: 21
- Stride Length: 24 (61 cm)
- Resistance Range: up to 900 Watts
- Drive type: Two-stage drive
- Brake: Brushless Eddy current brake with generator
- Dimensions: (L x W x H): 76 x 32 x 62.5 in; 192 x 81 x 159 cm
- Machine Weight: 412 lbs (187 kg)
- Maximum User Weight: 400 lbs (181 kg)
- Display: Graphic display of profile via 7 x 15 LED. Numeric display of time distance, calories, calories/hour, METs, watts, strides per minute and heart rate including multi-color indication of heart rate range. Lower display shows time. incline and resistance level.
- Workouts: Quick Start, Manual, three Weight Loss, three Cardio, two Strength and Heart Rate Control. Programs have 10 levels and control both incline and resistance.
- Compliance: ETL listed to UL 1647, FCC Class B, ASTM, EN 957, CE Low Voltage Directive, EMC and ROHS
- Convenience Features: Split level display with magazine rack. Centrally located water bottle holder and dual utility trays.
- Heart Rate Monitoring: Contact and wireless. HR light indicator is multi colored with different color light for specific target heart rate zones
- Color: Gray shrouds with choice of five standard frame colors (white, black, platinum sparkle, metal tone gold, black chrome) or choose from over 180 custom colors
- Languages: 10 languages (English, French, German, Spanish, Japanese, Russian, Swedish, Danish, Dutch, Canadian English) AV/Ent.: Optional embedded receiver
- Connectivity: AC Adaptor: AC adapted option provides full time display lighting.
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Exchange/Return Notes
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4.7 ★★★★★
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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