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probabilistic machine learning
| AUTHOR | Vera, Nick |
| PUBLISHER | Independently Published (03/16/2023) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
Probabilistic models and profound learning are two exceptionally fruitful parts of AI, with corresponding properties. In this task, we will foster hypothesis and techniques connected with the exchange between these advancements, empowering us to exploit the qualities of the two kinds of strategies.
In AI, a probabilistic classifier is a classifier that can foresee, offered a perspective of an information, a likelihood dispersion over a bunch of classes, as opposed to just yielding the most probable class that the perception ought to have a place with. Probabilistic classifiers give characterization that can be helpful in its own right or while consolidating classifiers into outfits.
In AI, a probabilistic classifier is a classifier that can foresee, offered a perspective of an information, a likelihood dispersion over a bunch of classes, as opposed to just yielding the most probable class that the perception ought to have a place with. Probabilistic classifiers give characterization that can be helpful in its own right or while consolidating classifiers into outfits.
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Product Format
Product Details
ISBN-13:
9798387279324
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
104
Carton Quantity:
78
Product Dimensions:
6.00 x 0.22 x 9.00 inches
Weight:
0.33 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | General
Descriptions, Reviews, Etc.
publisher marketing
Probabilistic models and profound learning are two exceptionally fruitful parts of AI, with corresponding properties. In this task, we will foster hypothesis and techniques connected with the exchange between these advancements, empowering us to exploit the qualities of the two kinds of strategies.
In AI, a probabilistic classifier is a classifier that can foresee, offered a perspective of an information, a likelihood dispersion over a bunch of classes, as opposed to just yielding the most probable class that the perception ought to have a place with. Probabilistic classifiers give characterization that can be helpful in its own right or while consolidating classifiers into outfits.
In AI, a probabilistic classifier is a classifier that can foresee, offered a perspective of an information, a likelihood dispersion over a bunch of classes, as opposed to just yielding the most probable class that the perception ought to have a place with. Probabilistic classifiers give characterization that can be helpful in its own right or while consolidating classifiers into outfits.
Show More