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Exam (elaborations)

Machine Learning

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Machine Learning by Saikat Dutt, Subramanian Chandramouli, and Amit Kumar Das is a comprehensive guide designed to introduce students to the principles, algorithms, and applications of machine learning. Covering supervised and unsupervised learning, neural networks, and real-world case studies, this book equips learners with the practical skills and theoretical knowledge needed to succeed in AI and data-driven fields. Ideal for beginners and intermediate students in computer science, data science, and engineering.

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JAVA
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Uploaded on
October 1, 2025
Number of pages
741
Written in
2025/2026
Type
Exam (elaborations)
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, About Pearson

Pearson is the world’s learning company, with presence across
70 countries worldwide. Our unique insights and world-class
expertise comes from a long history of working closely with
renowned teachers, authors and thought leaders, as a result of
which, we have emerged as the preferred choice for millions of
teachers and learners across the world.

We believe learning opens up opportunities, creates fulfilling
careers and hence better lives. We hence collaborate with the
best of minds to deliver you class-leading products, spread
across the Higher Education and K12 spectrum.

Superior learning experience and improved outcomes are at
the heart of everything we do. This product is the result of one
such effort.

Your feedback plays a critical role in the evolution of our
products and you can contact us at - .
We look forward to it.

,Machine Learning

, Machine Learning




Saikat Dutt
Director
Cognizant Technology Solutions

Subramanian Chandramouli
Associate Director
Cognizant Technology Solutions

Amit Kumar Das
Assistant Professor
Institute of Engineering & Management

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