SKU: 5154639081

The Fighting Doc. The Rhodesian Bush War Diary Of John Coey, KIA 19 July 1975

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The Fighting Doc. The Rhodesian Bush War Diary Of John Coey, KIA 19 July 1975The Fighting Doc. The Rhodesian Bush War Diary Of John Coey, KIA 19 July 1975 It is Saturday afternoon, 19 July 1975, next to a dry riverbed in Rhodesia's north eastern operational area, in a war against communist backed guerrillas. A Rhodesian combat medic receives an order to descend into the riverbed to attend to two critically wounded troopers, their figures seemingly lifeless on the sand. The whereabouts of the insurgents is not known. As the

The Fighting Doc. The Rhodesian Bush War Diary Of John Coey, KIA 19 July 1975

It is Saturday afternoon, 19 July 1975, next to a dry riverbed in Rhodesia's north-eastern operational area, in a war against communist-backed guerrillas. A Rhodesian combat medic receives an order to descend into the riverbed to attend to two critically wounded troopers, their figures seemingly lifeless on the sand. The whereabouts of the insurgents is not known. As the medic, displaying a red cross, moves in, shots ring out and he sustains a fatal head wound. That medic is 24-year-old American John Alan Coey. Driven by his Christian faith and an ardent belief in the threat of global communist hegemony, Coey had come to Rhodesia to fulfil an overriding passion to help the beleaguered southern African country in its fight against what he perceived to be a communist bid to secure the sub-continent. John was a very complex individual who, right until his death, was in a permanent state of internal conflict as to his mission in life: he wishes he had a wife; he tells young American girls that they must produce strong sons who will fight the good fight; he is disillusioned by his failures; he admits he is a weak leader, virtually offering an apology for his own shortcomings; he vacillates endlessly; he admits to being unable to identify the path he needs to take to achieve his mission. But, finally, as a combat medic-a pioneer in this concept-he finds his much sought-after destiny.

SPECIFICATIONS:

Author:John Alan Cowie - Джон Алан Коуи

Publisher:Helion & Company

Language:English

Publication Date:2015

Number of pages:200 pst

Format:Paperback

Width:156 mm / 6,1'

Height:234 mm / 9,2'

Weight:330 g

Illustrations:Maps

ISBN:9781910294963

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SKU: 5154639081

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R. Cote
Lexington, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
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Rafael Azevedo Souza Costa
Omaha, US
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Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
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Thomas
Phoenix, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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La Monte HP Yarroll
Battle Creek, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025
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3rd Act
Lake Worth, US
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024

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