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Description
Dell 22 Monitor E2220HFeatures & Design All the essentials, and then some Maximize your workspace: A thin profile1 and improved cable management create a smaller footprint, lending itself to a clean, uncluttered desk. Enhanced views: The Full HD resolution is ideal for everyday tasks, while ComfortView is ready for extended viewing periods. It reduces up to 60% of harmful blue light emissions. 2 Versatile connections: Our E Series monitors accommodate legacy and non legacy
Features & Design
All the essentials, and then some
Maximize your workspace: A thin profile1 and improved cable management create a smaller footprint, lending itself to a clean, uncluttered desk.
Enhanced views: The Full HD resolution is ideal for everyday tasks, while ComfortView is ready for extended viewing periods. It reduces up to 60% of harmful blue light emissions.2
Versatile connections: Our E Series monitors accommodate legacy and non-legacy systems with convenient connectivity options like VGA and DP ports. Your workspace will be completely customized to your needs.
Adapts to your needs: Make your workspace your own with VESA-compatible mounts and stands.
Enhanced views: The Full HD resolution is ideal for everyday tasks, while ComfortView is ready for extended viewing periods. It reduces up to 60% of harmful blue light emissions.2
Versatile connections: Our E Series monitors accommodate legacy and non-legacy systems with convenient connectivity options like VGA and DP ports. Your workspace will be completely customized to your needs.
Adapts to your needs: Make your workspace your own with VESA-compatible mounts and stands.
Improved Dell Display Manager
Productive at every level: Dell Display Manager’s (DDM) Easy Arrange feature lets you quickly tile and view your applications side by side across one or more connected screens for multitasking efficiency. And with the improved DDM, you’ll get even more preset layouts.
Seamless transitions: The auto-restore feature remembers where you left off, so applications will go back to where you left them, even after you’ve unplugged.
The key to convenience: Shortcut keys can save you even more time, letting you easily configure your display management settings so you can get to work faster.
More ways to manage: Asset management reports allow IT managers to quickly capture and track monitor information as well as configure multiple monitors at once through a single setup.
Seamless transitions: The auto-restore feature remembers where you left off, so applications will go back to where you left them, even after you’ve unplugged.
The key to convenience: Shortcut keys can save you even more time, letting you easily configure your display management settings so you can get to work faster.
More ways to manage: Asset management reports allow IT managers to quickly capture and track monitor information as well as configure multiple monitors at once through a single setup.
Eco-friendly inside and out
Guaranteed green: Compliant with the latest Energy Star® standards, the E Series monitors meet stringent energy efficiency requirements while in sleep, on and off modes. They’re also TCO-certified.
Energy reducing: Save energy with PowerNap, a feature that dims or puts the monitor to sleep when not in use.
Clean disposal: Composting or recycling the packaging is easy since it’s made with at least 25% of recycled cardboard.3
Energy reducing: Save energy with PowerNap, a feature that dims or puts the monitor to sleep when not in use.
Clean disposal: Composting or recycling the packaging is easy since it’s made with at least 25% of recycled cardboard.3
Connectivity Options
Ports & Slots:
1. Power Port | 2. DP Port 1.2 | 3. VGA Port
1. Power Port | 2. DP Port 1.2 | 3. VGA Port
Peace of mind, guaranteed
Our products are engineered with care and precision, so we guarantee support and peace of mind.
A brand you can rely on
Advanced Exchange Service
Reliable and responsible
Designed with the environment in mind, this monitor meets the latest regulatory and environmental standards such as China Energy Label (CEL), WEEE, ErP (EuP) Standards, and Korea E-Standby.
Accessories
Complete your experience with accessories designed to make the most of your Dell Monitor.
Dell Single Monitor Arm | MSA20
Attach your monitor and system to the arm, virtually tool-free. Enjoy flexibility and advanced cable management features in a small footprint.
Dell Stereo Soundbar | AC511M
Gain clear stereo sound for work and on your favorite content, without sacrificing desk space.
Dell Wireless Keyboard and Mouse | KM636
Compact and with chiclet keys, this setup delivers wireless convenience and clutter-free performance at your desk.
Display
-
Diagonal Viewing Size:
54.68 cm (21.5 inches)
Horizontal:
476.64 mm (18.77 inches)
Vertical :
268.11 mm (10.56 inches)
Maximum Preset Resolution:
1920 x 1080 at 60 Hz
Aspect Ratio :
16:9
Pixel Pitch:
0.248 mm x 0.248 mm
Pixel Per Inch (PPI) :
102
Brightness:
250 cd/m² (typical)
Color Support:
Color gamut (typical): 83% (CIE1976) 72% (CIE1931)
Color depth: 16.7 Million
Contrast Ratio :
1000:1 (typical)
Viewing Angle:
160°/170°
Response Time:
5 ms typical (Normal) (gray to gray)
Panel Type:
TN (Twisted Nematic)
Display Screen Coating:
Anti-Glare
Backlight Technology:
LED
ComfortView with Flicker-free screen:
Yes
Dell Display Manager Compatibility:
Yes
Remote Asset Management:
Yes, via Dell Command I Monitor
GSA/TAA:
No
Optional Soundbar:
AC511 - usb powered via PC
AE515 Skype for Business Certified
Connectivity
-
Connectors
1 X VGA
1 X DisplayPort 1.2
HDCP Support
DisplayPort HDCP 1.2
Security
-
Adjustability
Tilt Only (-5° to 21°)
Security
Security lock slot (cable lock sold separately)
Flat Panel Mount Interface
VESA (100 mm)
Dimensions & Weight
-
Dimensions (with stand)
Height
399.30 mm (15.64 inches)
Width
512.2 mm (20.17 inches)
Depth
171.0 mm (6.73 inches)
Weight
Weight (panel only - for VESA mount/ no cables)
2.70 kg (5.95 lb)
Weight (monitor + cables)
3.51 kg (7.74 lb)
Weight (with packaging)
4.90 kg (10.80 lb)
Power
-
AC input voltage/frequency/current
100 VAC to 240 VAC / 50 Hz or 60 Hz ± 3 Hz / 0.7 A (typical)
Power Consumption (Operational)
11W (Typ). 14W (Max). 10.7W (Energy Star)
Power Consumption Stand by/Sleep
Less than 0.3W
Warranty
-
Standard Service Plan
3 Years Advanced Exchange Service and Limited Hardware Warranty
Optional Service Plan
Dell ProSupport
-
What's in the Box
Components
Monitor with stand
Cables
Power cable
1 X DP Cable (DP to DP)
1 X VGA Cable (EMEA and Japan only)
1 X VESA screw cover
Documentation
Quick Setup Guide
Safety and regulatory information
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
4.9 ★★★★★
Based on 20 reviews
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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
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