Machine Learning: Theory To Applications

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning: Theory To ApplicationsISBN13:9780367634537ISBN10:0367634538Author:Mirtaheri, Seyedeh Leili (Author), Shahbazian, Reza (Author)Description:The Book Reviews Core Concepts Of Machine Learning (Ml) While Focusing On Modern Applications It Is Aimed At Those Who Want To Advance Their Understanding Of Ml By Providing Technical And Practical Insights It Does Not Use Complicated Mathematics To Explain How To Benefit From Ml Algorithms Unlike The Existing Literature, This Work Provides The Core Concepts With Emphasis On Fresh Ideas And Real Application Scenarios It Starts With The Basic Concepts Of Ml And Extends The Concepts To The Different Deep Learning Algorithms The Book Provides An Introduction And Main Elements Of Evaluation Tools With Python And Walks You Through The Recent Applications Of Ml In Self-Driving Cars, Cognitive Decision Making, Communication Networks, Security, And Signal Processing The Concept Of Generative Networks Is Also Presented And Focuses On Gans As A Tool To Improve The Performance Of Existing Algorithms In Summary, This Book Provides A Comprehensive Technological Path From Fundamental Theories To The Categorization Of Existing Algorithms, Covers State-Of-The-Art, Practical Evaluation Tools And Methods To Empower You To Use Synthetic Data To Improve The Performance Of Applications Binding:Hardcover, HardcoverPublisher:CRC PressPublication Date:2022-09-29Weight:1.05 lbsDimensions:0.5'' H x 9.21'' L x 6.14'' WNumber of Pages:202Language:English

Price: 194.51 USD

Location: USA

End Time: 2024-10-23T15:02:30.000Z

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