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 ApplicationsISBN13:9780367634568ISBN10:0367634562Author:Mirtaheri, Seyedeh Leili (Author), Shahbazian, Reza (Author)Description:This Book Aims To Teach Core Concepts Of Machine Learning While Focuses On Modern Applications It Is Aimed At Those Who Want To Master Machine Learning By Providing Technical And Practical Insights It Avoids Using Complicated Mathematics To Explain How To Use The Benefits Of Machine Learning Algorithms In What You Do Unlike The Existing Books, This Work Provides The Core Concepts With Emphasis On Fresh Ideas And Real Application Scenarios It Starts With The Basic Concepts Of Machine Learning And Extends To The Different Deep Learning Algorithms The Book Provides The Introduction And Main Elements Of Evaluation Tools With Python And Walks You Through The Recent Applications Of Machine Learning On 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 Offers 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:Paperback, PaperbackPublisher:CRC PressPublication Date:2022-09-29Weight:0 lbsDimensions:Number of Pages:202Language:English

Price: 75.5 USD

Location: USA

End Time: 2024-10-03T16:53:50.000Z

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