SKU: 54825427906

Jaws

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Description

JawsIn JAWS, one player takes on the role of the killer shark off Amity Island, while the other 1 3 players take on the roles of Brody, Hooper and Quint to hunt the shark. Character and event cards define player abilities and create game actions for humans and the shark. Gameplay is divided into two acts Amity Island and The Orca played on a double sided board to replicate the film's story: In the Amity Island phase, the shark menaces swimmers and avoids

In JAWS, one player takes on the role of the killer shark off Amity Island, while the other 1-3 players take on the roles of Brody, Hooper and Quint to hunt the shark. Character and event cards define player abilities and create game actions for humans and the shark. Gameplay is divided into two acts — Amity Island and The Orca — played on a double-sided board to replicate the film's story:

  • In the Amity Island phase, the shark menaces swimmers and avoids capture. Other players attempt to pinpoint the shark's location and save swimmers from shark attacks.
  • In the Orca phase, played on the reverse side of the game board, Brody, Hooper and Quint are aboard the sinking ship engaging in a climactic battle against the shark, while using additional action and strategy cards to defend the Orca from targeted shark attacks.

If humans kill the shark, they win; if the shark attack on the Orca succeeds, the great white shark wins.

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SKU: 54825427906

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R. Cote
Phoenix, 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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Reviewed in the United States on April 5, 2025
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Rafael Azevedo Souza Costa
Draper, US
★★★★★ 5
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
Cuba, 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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Reviewed in the United States on May 4, 2024
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La Monte HP Yarroll
Belleville, 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
Lexington, 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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