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portada Advanced Machine Learning: Fundamentals and Algorithms
Type
Physical Book
Publisher
Author
Language
English
Pages
520
Format
Paperback
ISBN13
9789355516343

Advanced Machine Learning: Fundamentals and Algorithms

Dr. Amit Kumar Tyagi; Dr. Khushboo Tripathi; Dr. Avinash Kumar Sharma (Author) · Bpb Publications · Paperback

Advanced Machine Learning: Fundamentals and Algorithms - Dr. Amit Kumar Tyagi; Dr. Khushboo Tripathi; Dr. Avinash Kumar Sharma

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Synopsis "Advanced Machine Learning: Fundamentals and Algorithms"

DESCRIPTION Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms.After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms.WHAT YOU WILL LEARN● Ability to tackle complex machine learning problems.● Understanding of foundations, algorithms, ethical issues and how to implement each learning algorithm for their own use/ with their data.● Efficient data analysis for real-time data will be understood by researchers/ students.● Using data analysis in near future topics and cutting-edge technologies.WHO THIS BOOK IS FORThis book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms.

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The book is written in English.

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The binding of this edition is Paperback.

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