Pay in installments of $6.85 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Sep 14 - Sep 19
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
cybex machine price Cybex Treadmill 770T CommercialThis is not your run of the mill treadmill. This is a breakthrough designed to encourage serious and casual fitness athletes alike to rediscover the simple joys of running, jogging, and walking. The CYBEX 770T offers better stability, greater comfort, and more entertainment options than any treadmill in the manufacturer's history. Enjoy the ride. In a commercial setting, this professional quality treadmill is designed and built by CYBEX, which means
This is not your run-of the-mill treadmill. This is a breakthrough designed to encourage serious and casual fitness athletes alike to rediscover the simple joys of running, jogging, and walking. The CYBEX 770T offers better stability, greater comfort, and more entertainment options than any treadmill in the manufacturer's history. Enjoy the ride.In a commercial setting, this professional quality treadmill is designed and built by CYBEX, which means it will stand up to the most demanding environments and challenging workouts. With the CYBEX 770T, members will enjoy a superior exercise experience – whether they choose to walk, jog, run, or simply work up a good sweat. Forget everything you know about treadmills and remember the one name that will keep members coming to your facility – CYBEX 770T.
The 770T-CT's new CardioTouch display offers a single command center for every exercise program and entertainment control. Members can easily set up an exercise program, charge an iPod® or iPhone®, scroll through playlists, albums, artists, podcasts, and more. Every exercise program and entertainment choice is at your fingertips.
770T is the first treadmill to incorporate the patented ARMZ – stabilizers that reach out beyond conventional support bars to provide an added level of safety and a feeling of confidence... Ergonomically designed stability bars ensure a safe, comfortable ride.
At the heart of the 770T is the IS3 Intelligent Suspension System, the result of extensive research conducted by the CYBEX Institute for Exercise Science. The 770T's deck is soft at landing, firm in the middle, and rigid at toe-off to precisely match the body mechanics of running. So runners will experience a smooth, comfortable ride with minimal stress, impact, and shock. The CYBEX IS3 system uses an advanced elastomer to cushion shock on every step.
Features:
- An adjustable, dual-speed fan keeps users cool during the most heated workouts, and longer workouts mean better results. Better results = happier members.
- The 770T-CT comes standard with full iPod and iPhone integration so users can manage their playlists, or watch videos on the optional Personal Entertainment Monitor while their battery gets charged.
- Cool Belt Heat is the enemy of virtually every mechanical device and a treadmill deck and belt are no exception. The poly-cotton blend allows heat to escape, so the running belt stays cooler and lasts longer than the competitors.
- Heart rate can be monitored from either the contact grips or hands free from a wireless heart rate transmitter. See it at a glance with a multi-colored LED that displays a different color for specific target heart rate zones
Specifications
- Speed Range: 0.5 - 12.4 mph
- Elevation Range: 0% - 15%
- Running Area: 60 x 22 in
- Dimensions: 82 x 34 in
- Max User Weight: 400 lbs
- Machine Weight: 500 lbs
- Step-up Height: 8.5"
- Power: 100v, 115v, 208v-220v, 230v
- Motor: 5 HP Peak AC motor and 1000lbs thrust incline motor
- Display: 8x15 LED display of profile with LED readout of speed, incline, time, distance, calories, calories/hr, METs, Watts, Pace, Heart Rate
- Programs: Quick Start, Manual, 9 programs with Time, Distance or Calorie Goal, 6 Military tests, 1-mile fitness test and Gerkin Protocol
Please note that this is a commercial grade and not a residential piece of equipment. Product does in fact need a 20 amp dedicated line.
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
4.6 ★★★★★
Based on 7 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
recommand products
Radio Flyer Momentum Jogging Stroller
29.45
Ingenuity Universal Stroller Rain Cover, Baby Weather Shield, Fits Most Strollers, Vented Airflow, High Visibility, Easy Install & Storage Clear – Kids2, LLC
25.44
Hauck Manufacturing Company Direct Drive Turbo Blower
23.56
Hauck Manufacturing Company Direct Drive Turbo Blower
24.22
Jogging Stroller & Car Seat Combo – Maui Vacation Equipment
25.44