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Description
anthurium besseae dark Anthurium besseae aff (medium) — Ecuagenera USA CorpAnthurium besseae aff Culture: This rare and visually striking thrives in the humid, shaded understory of tropical forests at moderate elevations. Light: Bright, indirect light mimicking filtered forest conditions. Avoid direct sunlight to prevent leaf burn. Temperature: Warm, stable temperatures 18 24C (65 75F) with minimal fluctuation. Humidity: High humidity levels of 60 80% are essential for optimal growth and vibrant coloration. Watering: Keep
Anthurium besseae aff Culture:
This rare and visually striking thrives in the humid, shaded understory of tropical forests at moderate elevations.
- Light: Bright, indirect light mimicking filtered forest conditions. Avoid direct sunlight to prevent leaf burn.
- Temperature: Warm, stable temperatures 18-24°C (65-75°F) with minimal fluctuation.
- Humidity: High humidity levels of 60-80% are essential for optimal growth and vibrant coloration.
- Watering: Keep soil consistently moist but well-draining to prevent root rot while maintaining adequate moisture.
Additional Notes:
- "aff." indicates that this plant shares similarities with Anthurium besseae, but may exhibit subtle differences.
- Distinguished by vibrant, deep red spathes contrasting beautifully with dark green, glossy leaves.
- Highly sought-after by collectors for its intense coloration and exotic appeal, perfect for adding dramatic tropical elegance to any plant collection.
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4.2 ★★★★★
Based on 19 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