SKU: 97794529816
sansevieria socotra

sansevieria socotra Sansevieria 'Dakota' 10"

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Description

sansevieria socotra Sansevieria 'Dakota' 10"The Sansevieria is a beloved plant for so many reasons, the top being that it is so easy to care for. It is known by a host of many common names which include "Mother In Law Tongue", "Snake Plant", "Devils Tongue" just to name few. They were recently moved to the genus Dracaena due to further research in to their genetics. 'Dakota' has very dark green banding with a soft yellow margin, a bit of a visual combination of the familiar 'Black Coral' and

The Sansevieria is a beloved plant for so many reasons, the top being that it is so easy to care for.  It is known by a host of many common names which include "Mother In Law Tongue", "Snake Plant", "Devils Tongue" just to name few.  They were recently moved to the genus Dracaena due to further research in to their genetics. 'Dakota' has very dark green banding with a soft yellow margin, a bit of a visual combination of the familiar 'Black Coral' and 'Laurentii' features.

  • Light: part sun to part shade
  • Watering: let dry
  • Soil: succulent mix

Images are used for general reference only. The size and shape of each plant will vary.

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SKU: 97794529816

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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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Great examples and practical explanations
Format: Paperback
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Reviewed in the United States on May 19, 2025
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West Palm Beach, US
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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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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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