{
"item_title" : "Introduction to Machine Learning with Security",
"item_author" : [" Pramod Gupta", "Naresh Kumar Sehgal", "John M. Acken "],
"item_description" : "This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies. ",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/159/169/3031591690_b.jpg",
"price_data" : {
"retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Introduction to Machine Learning with Security : Theory and Practice Using Python in the Cloud
Overview
This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783031591693
- ISBN-10: 3031591690
- Publisher: Springer
- Publish Date: July 2024
- Dimensions: 9.66 x 6.9 x 1.26 inches
- Shipping Weight: 2.52 pounds
- Page Count: 492
Related Categories
