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Machine Learning | By Saikat Dutt | Second Edition | Pearson Publication ( English Medium )
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586-750 |
Machine Learning | By Saikat Dutt | Second Edition | Pearson Publication ( English Medium ).
Machine Learning (2nd Edition) by Saikat Dutt, Subramanian Chandramouli, and Amit Kumar Das, published by Pearson Education, is a comprehensive textbook designed to introduce readers to the fundamentals and advanced concepts of machine learning. This edition emphasizes practical applications and is suitable for students, educators, and professionals aiming to gain a solid foundation in machine learning.
Key Features
Accessible Language: Presents machine learning concepts in an easy-to-understand manner, making it suitable for beginners.
Practical Examples: Includes numerous worked-out problems, diagrams, and notes to facilitate learning.
Industry-Relevant Content: Designed to prepare readers for real-world applications, drawing from the authors' industry experience.
Online Learning Platform: Accompanied by 35+ video notes to enhance understanding of complex topics.
Table of Contents (Selected Chapters)
Introduction to Machine Learning
Preparing to Model
Modeling and Evaluation
Basics of Feature Engineering
Brief Overview of Probability
Bayesian Concept Learning
Supervised Learning: Classification
Supervised Learning: Regression
Unsupervised Learning
Reinforcement Learning
Basics of Neural Networks
Other Types of Learning
End-to-End ML Implementations
Generative AI & Large Language Models
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SKU / BOOK Code: | Pearson-Machine-Learning-(E) |
Publisher: | Pearson Publication |
Author: | Saikat Dutt |
Binding Type: | Paperback |
No. of Pages: | 556 |
ISBN-10: | 8119896734 |
ISBN-13: | 978-8119896738 |
Edition: | Second Edition |
Language: | English Medium |
Publish Year: | 2025-05 |
Weight (g): | 2500 |
Product Condition: | New |
Reading Age: | Above 10 Years |
Country of Origin: | India |
Genre: | Textbooks & Study Guides |
Manufacturer: | Pearson Publication |
Importer: | Pearson Publication |
Packer: | Fullfilled by Supplier |
Machine Learning | By Saikat Dutt | Second Edition | Pearson Publication ( English Medium ).
Machine Learning (2nd Edition) by Saikat Dutt, Subramanian Chandramouli, and Amit Kumar Das, published by Pearson Education, is a comprehensive textbook designed to introduce readers to the fundamentals and advanced concepts of machine learning. This edition emphasizes practical applications and is suitable for students, educators, and professionals aiming to gain a solid foundation in machine learning.
Key Features
Accessible Language: Presents machine learning concepts in an easy-to-understand manner, making it suitable for beginners.
Practical Examples: Includes numerous worked-out problems, diagrams, and notes to facilitate learning.
Industry-Relevant Content: Designed to prepare readers for real-world applications, drawing from the authors' industry experience.
Online Learning Platform: Accompanied by 35+ video notes to enhance understanding of complex topics.
Table of Contents (Selected Chapters)
Introduction to Machine Learning
Preparing to Model
Modeling and Evaluation
Basics of Feature Engineering
Brief Overview of Probability
Bayesian Concept Learning
Supervised Learning: Classification
Supervised Learning: Regression
Unsupervised Learning
Reinforcement Learning
Basics of Neural Networks
Other Types of Learning
End-to-End ML Implementations
Generative AI & Large Language Models
Search Key - machine learning saikat dutt 2nd edition, , machine learning by saikat dutt pearson, , machine learning book saikat dutt summary, , saikat dutt machine learning table of contents, , machine learning 2024 edition pearson, , saikat dutt machine learning concepts, , pearson publication machine learning textbook, , saikat dutt machine learning review, , introduction to machine learning saikat dutt, , key topics in machine learning by saikat dutt, , saikat dutt book for data science students, , practical machine learning saikat dutt, , 2nd edition machine learning textbook pearson, , best book for machine learning by saikat dutt, , saikat dutt ml book contents explained, , machine learning curriculum pearson saikat, , who is saikat dutt machine learning author, , machine learning textbook with case studies, , easy to understand machine learning book, , supervised learning topics saikat dutt, , unsupervised learning saikat dutt book, , neural networks basics saikat dutt, , top recommended machine learning books 2024, , student guide to machine learning by dutt, , practical examples in machine learning book, , video notes with machine learning saikat dutt, , comparison of ml books saikat dutt edition, , updated edition machine learning saikat dutt, , machine learning for engineers saikat dutt, , end-to-end machine learning implementation book, Publisher : Pearson Education (2 July 2024); Pearson Education, Language : English, Paperback : 556 pages, ISBN-10 : 8119896734, ISBN-13 : 978-8119896738.
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