SKU: 65169198135
five drawer bedroom dresser

five drawer bedroom dresser Enso 5-Drawer Upright Dresser - Chest | - Walnut

$26.09 $28.99
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Description

five drawer bedroom dresser Enso 5-Drawer Upright Dresser - Chest | - WalnutThe Enso Upright Dresser in walnut brings depth, contrast, and a touch of elegance to the bedroom. Walnuts rich, dark colors elevate the dressers subtle silhouette, giving it a striking yet understated presence. Each piece is meticulously handcrafted, where careful joinery and hand shaped details transform simplicity into true luxury. Built for both beauty and daily function, this walnut dresser is a timeless investment in craftsmanship and material

The Enso Upright Dresser in walnut brings depth, contrast, and a touch of elegance to the bedroom. Walnut’s rich, dark colors elevate the dresser’s subtle silhouette, giving it a striking yet understated presence. Each piece is meticulously handcrafted, where careful joinery and hand-shaped details transform simplicity into true luxury. Built for both beauty and daily function, this walnut dresser is a timeless investment in craftsmanship and material integrity.

Benefits of Premium Walnut Wood

- Walnut wood exhibits deep, chocolate-brown tones with purple and golden undertones, creating a sumptuous and sophisticated appearance that is highly coveted in fine furniture.

- The straight, flowing grain often accented by beautiful figuring and natural color variation creates stunning visual depth and character in every piece.

- Walnut's excellent strength, combined with superior workability, dimensional stability, and shock resistance, makes it highly sought after by master craftsmen for creating fine furniture.

Enso Upright Dresser Best Features

- This narrow dresser maximizes storage in compact spaces while showcasing premium quarter-sawn sycamore drawer interiors with a distinctive shimmer finish and unique bowtie-shaped drawer pulls that add sculptural interest.

- The dresser is made of natural solid wood throughout to ensure heirloom-quality construction, and even drawer interiors are crafted from premium quarter-sawn sycamore.

- Handcrafted with traditional joinery throughout, featuring honest craftsmanship where each unique bowtie-shaped drawer pull is shaped by hand to create functional art.

- It's finished with an organic, VOC-free wood finish that protects walnut wood naturally while allowing the surface to develop its signature patina.

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SKU: 65169198135

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4.1 ★★★★★
Based on 26 reviews
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Verified Purchase
P. H.
Omaha, US
★★★★★ 5
Masterful biography and history of the birth of the Red Power movement.
Format: Hardcover
Kent Blansett has broken much new ground with his masterful biography of the charismatic Richard Oakes. The book is also an astute and insightful account of the birth and rise of the Red Power Movement and the occupation of Alcatraz. Scholarly but written in an accessible style, this book will appeal to all readers.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 2, 2018
H
Verified Purchase
Hashi Hanta
Lowell, US
★★★★★ 5
Excelllent book
Format: Hardcover
As one of the group of Native Americans who landed on Alcatraz with Richard Oakes, I enjoyed this book. Richard was a fantastic man. A good man.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 14, 2019
C
Verified Purchase
Carol
Lexington, US
★★★★★ 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
W
Walter Echo-Hawk, author of THE SEA OF GRASS.
Battle Creek, US
★★★★★ 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
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Verified Purchase
Par
Bozeman, US
★★★★★ 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

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