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{ "item_title" : "Mastering Generative AI and Machine Learning", "item_author" : [" Nicholas Antonio", "Ben Antonio "], "item_description" : "In the vast landscape of artificial intelligence (AI), Generative AI stands out as a powerful subset that has the potential to revolutionize industries and processes.Generative AI and Discriminative AI are two primary categories in the realm of machine learning. Discriminative models focus on learning the boundary between different classes in the data, aiming to predict the probability of a label given the input. On the other hand, Generative models concentrate on understanding the underlying structure of the data to generate new samples similar to the training data.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/825/028/9798250283434_b.jpg", "price_data" : { "retail_price" : "32.43", "online_price" : "32.43", "our_price" : "32.43", "club_price" : "32.43", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Generative AI and Machine Learning|Nicholas Antonio

Mastering Generative AI and Machine Learning : Advanced Techniques and Applications for Tech Enthusiasts

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Overview

In the vast landscape of artificial intelligence (AI), Generative AI stands out as a powerful subset that has the potential to revolutionize industries and processes.
Generative AI and Discriminative AI are two primary categories in the realm of machine learning. Discriminative models focus on learning the boundary between different classes in the data, aiming to predict the probability of a label given the input. On the other hand, Generative models concentrate on understanding the underlying structure of the data to generate new samples similar to the training data.

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Details

  • ISBN-13: 9798250283434
  • ISBN-10: 9798250283434
  • Publisher: Independently Published
  • Publish Date: March 2026
  • Dimensions: 9 x 6 x 0.06 inches
  • Shipping Weight: 0.11 pounds
  • Page Count: 28

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