Machine Learning Algorithms and Applications

Machine Learning Algorithms is a book for machine learning specialists looking to implement solutions to real-world problems, covering various techniques and applications. It discusses methods from statistics, pattern recognition, neural networks, AI, sentiment analysis, control, and data mining, and explains algorithms so users can move from equations to computer programs.

Format: Hardback
Length: 368 pages
Publication date: 28 September 2021
Publisher: John Wiley & Sons Inc

Machine Learning Algorithms is a comprehensive guide for current and aspiring machine learning specialists seeking to implement solutions to real-world machine learning problems. It delves extensively into the diverse applications of machine and deep learning techniques, exploring novel approaches to machine learning architecture for specific applications. Each chapter compares the results with previous algorithms, providing a comprehensive evaluation of the effectiveness of these techniques.

The book encompasses a wide range of methods drawn from various fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining. This multidisciplinary approach ensures a unified treatment of machine learning problems and solutions.

Furthermore, the book aims to make learning algorithms accessible to users, enabling them to easily transition from the equations presented in the text to computer programs. By providing clear explanations and practical examples, Machine Learning Algorithms serves as a valuable resource for anyone interested in advancing their knowledge and expertise in this rapidly evolving field.

Weight: 620g
Dimension: 239 x 161 x 25 (mm)
ISBN-13: 9781119768852