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Applied Machine Learning 2E By M Gopal
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Buy Applied Machine Learning 2nd Edition by M. Gopal from A2Z Book Hub at the best student-friendly price. This 100% original academic book is available in carefully inspected Used Like New condition and is quality-checked before dispatch. Apply Coupon Code 5A2ZBOOK to save more on your purchase and enjoy secure packaging, fast Pan India delivery, and trusted customer service. Whether you are a student, researcher, or AI enthusiast, this book is an excellent choice for learning modern machine learning concepts. (SKU: A2Z042)
Applied Machine Learning 2E By M Gopal Overview
Applied Machine Learning 2E By M Gopal, published by McGraw Hill Education, is a practical and student-friendly textbook that explains both the theory and applications of machine learning. It is published by McGraw Hill Education and is widely trusted by learners across India. The book not only covers basic concepts but also introduces advanced learning techniques. In addition, it provides real-world case studies and examples that help readers connect theory with practice.
This book is helpful for students who want to build a strong foundation in machine learning. Moreover, it is equally useful for researchers and professionals who wish to upgrade their knowledge. As a result, it serves as a complete guide for academic learning as well as industry applications.
📘 Applied Machine Learning 2nd Edition Key Features:
Explains both fundamental and advanced machine learning concepts in simple language
Includes supervised, unsupervised, and reinforcement learning methods
Offers case studies, solved problems, and practical examples for better understanding
Suitable for engineering, computer science, and artificial intelligence students
Authored by M. Gopal, a respected academic and subject expert
Published by McGraw Hill Education, a trusted name in academic publishing
👉 Available at A2Z Book Hub in Used – Like New Condition, this book is an excellent choice. It is especially recommended for:
Undergraduate and postgraduate students of Computer Science & Engineering
Researchers and scholars in Artificial Intelligence, Data Science, and Machine Learning
Professionals who want to strengthen their knowledge of ML for career growth
Learners preparing for academic projects, competitive exams, or industry applications
