Pay in installments of $30.50 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 20 - Aug 25
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Original Huawei WATCH FIT 2 Smart Sports Watch, Black1. Strap material: silicone 2. Battery capacity: 292mAh 3. Positioning system: GPS GLONASS BeiDou Galileo QzSS 4. Sensor: 9 axis inertial sensor (acceleration sensor gyroscope sensor geomagnetic sensor), optical heart rate sensor 5. Bluetooth: 2. 4 GHz, Bluetooth 5. 2, low power Bluetooth support 6. Speaker: support 7. Link interface width: 20mm 8. Display: size about 1. 74 inches, AMOLED color screen, resolution: 336 x 480, PPI 336 9. Support
1. Strap material: silicone2. Battery capacity: 292mAh
3. Positioning system: GPS/GLONASS/BeiDou/Galileo/QzSS
4. Sensor: 9-axis inertial sensor (acceleration sensor/gyroscope sensor/geomagnetic sensor), optical heart rate sensor
5. Bluetooth: 2.4 GHz, Bluetooth 5.2, low power Bluetooth support
6. Speaker: support
7. Link interface width: 20mm
8. Display: size about 1.74 inches, AMOLED color screen, resolution: 336 x 480, PPI 336
9. Support languages: Simplified Chinese, American English, European Spanish, European Portuguese, French, German, Russian, Italian, British English, Polish, etc.
10. Strap size: width of about 20mm, fit wrist circumference of about 130-210mm
11. Size: about 46 x 33.5 x 10.8mm
12. Weight (without the weight of the strap): about 30g
Instruction:
1. The application must be downloaded through the Huawei Sports Health App watch application market, not supported when connected to iOS phones
2. Bluetooth call function requires normal connection between Huawei Sports Health App and the watch to use
3. Supported by Android 7.0, HarmonyOS 2 and above
4. iOS phones do not support music import and watch music management function
5. HarmonyOS/Android/iOS phones already support a variety of NFC traffic cards and support simulated non-encrypted access cards with a frequency of 13.56 MHz. After copying the physical access card information into Huawei's wearable device chip, the wearable device can be used as an access card. More NFC access cards can be simulated through the cell phone super access card function, and then migrated to the same account wearable device synchronously, currently supporting more than 90% of NFC access cards. iOS phones support access card function
6. Need to customize the plan in Huawei Sports Health App
7. Support the replacement of 20mm EasyFit strap (pink/black/blue need to purchase HUAWEI WATCH FIT Link separately; white/grey already standard with link, can directly replace the strap)
8. More dials need to be downloaded from the dial market, some dials are paid dials
9. Through Huawei Sports Health App, you can set the photos in your phone as album dials, and you can also set album dials conveniently and quickly through One Touch Transfer. One-touch transfer function is only supported by EMUI10.0, HarmonyOS 2 and above with NFC function.
10. Smart message push function is only supported by EMUI 9.1, Harmony OS 2 and above.
11. Smart voice assistant requires EMUI 10.1, HarmonyOS 2 and above version of Huawei cell phones, and install Huawei Sports Health App
12. Remote photo function is only supported by EMUI 8.1, HarmonyOS 2, iOS 9.0 and above
13. 7 common sports modes: outdoor running, indoor running, outdoor cycling, indoor cycling, swimming pool, open water, rope skipping
14. Need to open the heart rate too high and too low alert in Huawei Sports Health App
Packing list:
- Watch x 1
- Charging dock (including charging cable) x 1
- Quick start x 1
- Safety information x 1
Specification:
| General |
|
| Network |
|
| Display |
|
| Battery |
|
| Package Weight |
|
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
4.7 ★★★★★
Based on 20 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
recommand products
Floral Hawaiian Shirt For Men Colorful Button-down Shirt Short Sleeve 100% Cotton Shirt Sunlight Florals
99.00
Toucan WJ1302035CL Duvet Cover Set
99.95
Men's Hawaiian Shirt Short Sleeve Camp Collar 100% Silk Gray Aloha The Feast Of Cranes
119.50
Hawaiian Sweater For Men Midsummer Breeze Crew Sweater
159.00
Women's foldable Loafers Underwater World Sneaker Painted Canvas Slip-On Shoes
79.00