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Description
grey dresser chest Ashley Furniture Hollivern Dark Gray Dresser & Mirror (Online Special Price)Description Upgrade your bedroom with the Hollivern Dark Grey Dresser & Mirror. The rustic charcoal finish adds a touch of casual elegance to any room, while the smooth gliding drawers provide ample storage space for your clothes and linens. Versatile and stylish, this piece is a must have for any modern home. Features & Benefits Includes dresser and mirror Made with engineered wood (MDF particleboard plywood) and decorative laminate for the right
Description
Upgrade your bedroom with the Hollivern Dark Grey Dresser & Mirror. The rustic charcoal finish adds a touch of casual elegance to any room, while the smooth-gliding drawers provide ample storage space for your clothes and linens. Versatile and stylish, this piece is a must-have for any modern home.
Features & Benefits
- Includes dresser and mirror
- Made with engineered wood (MDF/particleboard/plywood) and decorative laminate for the right balance of affordability and durability
- Charcoal finish over replicated oak grain with authentic touch
- Decorative laminate replicates natural or man-made material surfaces with consistent color, pattern and texture
- Large-scale dark colored handles
- 6 smooth-gliding drawers
- Drawer interiors are lined with a faux linen laminate for a clean, finished look
- Mirror attaches to back of dresser; can also be mounted on wall horizontally or vertically
- Safety is a top priority, clothing storage units are designed to meet the most current standard for stability, ASTM F 2057 (ASTM International)
- Drawers extend out to accommodate maximum access to drawer interior while maintaining safety
- Minor assembly required
Dimension
58.7" W x 15.28" D x 67.25" H
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4.1 ★★★★★
Based on 28 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on November 2, 2018
★★★★★ 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.
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Reviewed in the United States on February 14, 2019
★★★★★ 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.
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Reviewed in the United States on November 24, 2019
★★★★★ 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.
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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.
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Reviewed in the United States on December 20, 2024
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