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shop women's spring dress PRETTYGARDEN Work Dresses for Women Spring Business Formal Short DressPRETTYGARDEN Work Dresses For Women Formal Dress Fabric type Shell: 94%Polyester, 6%Elastane; Lining: 100%Polyester Features: The women's formal dresses feature mini length, front buttons for decoration, hidden zipper at the back, sleeveless, tank top, micro A hem, micro U neck. Women's wear to work dresses adapts well to your body shape, fitting perfectly without being too tight or loose Occasion: This business casual dress for women is very
PRETTYGARDEN Work Dresses For Women Formal Dress
Fabric type Shell: 94%Polyester, 6%Elastane; Lining: 100%Polyester
- Features: The women's formal dresses feature mini length, front buttons for decoration, hidden zipper at the back, sleeveless, tank top, micro A hem, micro U neck. Women's wear to work dresses adapts well to your body shape, fitting perfectly without being too tight or loose
- Occasion:This business casual dress for women is very versatile. It's great for business, office, work, dinner outings, tea parties, wedding guests, cocktails, events, church, teacher outfits,causal easy daily commuting, prom, job interview, funeral, graduation etc. It's dressy enough to wear to semi-formal/special occasions with heels
- Matching: Black formal dress are suitable for pairing with high heels, delicate watches,exquisite bracelets, earrings and fashionable bags to create a sleek and professional look. In spring and fall, you can pair it with a base shirt on the inside, and in winter, you can pair it with a coat of the same color on the outside to keep warm
- Wash Care: Conventional machine wash, cannot be dried, easy to care and wash.Note:The buttons on the front of the business casual outfits for women cannot be opened, and there is an invisible zipper at the back
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4.4 ★★★★★
Based on 9 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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