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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

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Hashi Hanta

San Leandro, 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.

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Reviewed in the United States on February 14, 2019

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Carol

San Leandro, 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.

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Reviewed in the United States on November 24, 2019

Walter Echo-Hawk, author of THE SEA OF GRASS.

Fort Morgan, 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.

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Reviewed in the United States on April 1, 2019

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Par

Massapequa, 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