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Advanced Machine Learning Fundamentals by Kumar Tyagi (8 results)
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US$ 22.91
Convert currencyUS$ 8.81 shipping from United Kingdom to U.S.A.Quantity: 1 available
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Condition: New.
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Advanced Machine Learning: Fundamentals and algorithms (English Edition) (Paperback or Softback)
Published by Bpb Publications 6/29/2024, 2024
ISBN 10: 9355516347 ISBN 13: 9789355516343
Language: English
Paperback or Softback. Condition: New. Advanced Machine Learning: Fundamentals and algorithms (English Edition) 1.96. Book.
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Advanced Machine Learning: Fundamentals and algorithms (English Edition)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 46.26
Convert currencyUS$ 16.24 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Advanced Machine Learning: Fundamentals and algorithms (English Edition)
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 63.53
Convert currencyUS$ 12.00 shipping from Ireland to U.S.A.Quantity: 1 available
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Condition: New.
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US$ 62.71
Convert currencyUS$ 13.56 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 520 pages. 7.50x1.18x9.25 inches. In Stock. This item is printed on demand.
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US$ 60.74
Convert currencyUS$ 37.49 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - DESCRIPTIONOur 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.
