
Sách keo gáy, bìa mềm
The book brings a blend of different areas of
Machine Learning and the recent advances in the area. From the use of ML
in healthcare to security, the book encompasses several areas related
to ML while keeping a check on the traditional ML algorithms. Machine
Learning in Healthcare and Security: Advances, Obstacles, and Solutions
describes the predictive analysis and forecasting techniques in
different emerging and classical areas using the approach of ML and AI.
It discusses the application of ML and AI in Medical Diagnostic systems
and deals with the security prevention aspects of ML and how it can be
used to tackle various emerging security issues. The book also focuses
on NLP and understanding the techniques, obstacles, and possible
solutions. A valuable reference resource for researchers and
postgraduate students in healthcare systems engineering, computer
science, cyber-security, information technology, and applied
mathematics.
Categories:Computers - Artificial Intelligence (AI)
Content Type:Books
Year:2024
Language:english
Trang: 225