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Description
Edgewood 72 inch Indoor/Outdoor Ceiling Fan - Dark Bronze with Dark Walnut bladesFinish Dark Bronze Blade Finish Dark Walnut Blade Finish Method Painted Category Unipack Option Energy Efficient, Outdoor Family Edgewood 72 Voltage 120 V Air Flow CFM 7671 Air Flow Efficiency 52 Blade Pitch 13. 5 Canopy 5. 97 Dia x 2. 36 H Harmonized Codes 8414. 51. 3000 Light Kit Included No Max Height(in) 14. 17 Motor Size 212 x 35 Motor Type AC Ship Carton Height(in) 11. 3 Ship Carton Length(in) 31. 81 Ship Carton Width(in) 15. 2 Ship Weight(lbs)
| Finish | Dark Bronze |
| Blade Finish | Dark Walnut |
| Blade Finish Method | Painted |
| Category | Unipack |
| Option | Energy Efficient, Outdoor |
| Family | Edgewood 72 |
| Voltage | 120 V |
| Air Flow CFM | 7671 |
| Air Flow Efficiency | 52 |
| Blade Pitch | 13.5 |
| Canopy | 5.97 Dia x 2.36 H |
| Harmonized Codes | 8414.51.3000 |
| Light Kit Included | No |
| Max Height(in) | 14.17 |
| Motor Size | 212 x 35 |
| Motor Type | AC |
| Ship Carton Height(in) | 11.3 |
| Ship Carton Length(in) | 31.81 |
| Ship Carton Width(in) | 15.2 |
| Ship Weight(lbs) | 41.01 |
| Sold By | EA |
| Warranty | Limited Lifetime |
| Weight(lbs) | 36.84 |
| Airflow Efficiency Low | 127 |
| Airflow Efficiency Medium | 84 |
| Avg Airflow Efficiency | 64 |
| Avg CFM Energy | 3720 |
| Avg Energy Use | 58 |
| Avg Estimated Yearly Energy Cost | 16 |
| Avg Estimated Yearly Energy Cost on HIGH | 26 |
| Blade Material | Composite |
| Blade Reversible | No |
| Blade Sweep | 72 |
| Cap Included | No |
| Carton Cubic Feet | 3.16 |
| Case Height(in) | 11.3 |
| Case Length(in) | 31.81 |
| Case Quantity | 1 |
| Case Weight Pounds(lbs) | 41.01 |
| Case Width(in) | 15.2 |
| CEC Uploaded | Yes |
| Ceiling To Blade Edge | 8.88 / 12.51 |
| Ceiling To Bottom (No Light Kit) | 10.54 / 14.17 |
| CFM Low | 2424 |
| CFM Medium | 3620 |
| Country of Origin | China |
| Current Draw High | 0.78 |
| Current Draw Low | 0.35 |
| Current Draw Medium | 0.53 |
| DOE Classification | LSSD |
| DOE-FTC Uploaded | Yes |
| Downrod Length(in) | 4.5 |
| Energy Efficient | Yes |
| Exempt from DOE Procedure | No |
| Fan Energy Star 4 | No |
| Housing Diameter | 12.6 |
| Included Control Type | Pull Chain |
| Indoor | Yes |
| Leadwire | 80 |
| Location Rating | Wet Rated |
| Max Ceiling Slope | 17 |
| Motor Finish Method Type | Painted |
| Motor Reversible | Yes |
| Number of Blades | 5 |
| Number Of Speeds | 3 |
| Outdoor | Yes |
| Prop 65 Description | This product can expose you to chemicals including Lead which are known to the State of California to cause cancer and birth defects or other reproductive harm. for more information go to www.P65Warnings.ca.gov |
| Regulated Product | Yes |
| Reverse Switch Location | Switch Housing |
| RPM High | 97 |
| RPM Low | 40 |
| RPM Medium | 63 |
| Safety Rating | UL Approved, cUL Approved |
| Voltage Cycles | 60 Hz |
| Watts High | 93 |
| Watts Low | 19 |
| Watts Medium | 43 |
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4.5 ★★★★★
Based on 30 reviews
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Product Reviews
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security.
This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation.
One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered.
If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 12, 2024
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
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