Applied Machine Learning 2nd Edition by M. Gopal

Buy Applied Machine Learning 2nd Edition M Gopal from A2Z Book Hub at a student-friendly price in India. McGraw Hill Education India publishes this authoritative textbook, which covers statistical learning foundations, supervised regression, deep neural networks, and reinforcement learning algorithms. In addition, our inventory primarily features pristine Like New copies alongside quality-checked pre-owned stock, each manually inspected before dispatch to ensure clean pages, sturdy binding, and an intact spine. As a result, students receive a verified academic resource that is completely ready for university semester examinations, research projects, and data science technical interviews.

Applied Machine Learning 2nd Edition M Gopal Overview

Prof. M. Gopal designed Applied Machine Learning 2nd Edition M Gopal to bridge rigorous statistical learning foundations directly with practical computational engineering models. Instead of presenting abstract mathematical proofs in isolation, the textbook links cost functions, gradient optimization, and probabilistic inferences with real-world engineering datasets. Because of this applied methodology, learners build firm confidence in supervised classifiers, clustering routines, and neural network tuning.

This revised 2nd edition expands significantly on deep learning architectures, support vector machines, non-linear kernel transformations, and reinforcement learning paradigms. Therefore, it remains an indispensable handbook across computing and data branches, especially for B.Tech semester exams, M.Tech research, and machine learning placement interviews.

Key Topics Covered in Applied Machine Learning 2nd Edition M Gopal

• Statistical learning theory, bias-variance trade-off, empirical risk minimization, and maximum likelihood estimation.
• Supervised regression techniques, logistic classification, lasso-ridge regularization, and gradient descent algorithms.
• Decision tree induction, random forests, bagging techniques, and gradient boosting machines (GBM).
• Support vector machines (SVM), convex optimization, hyperplanes, and non-linear kernel transformations.
• Unsupervised learning, k-means clustering, Gaussian mixture models, and principal component analysis (PCA).
• Deep feedforward networks, convolutional neural networks (CNN), backpropagation, and regularization schemes.
• Markov decision processes, Bellman optimality, Q-learning strategies, and reinforcement learning workflows.

What You Will Learn

• Translate real-world predictive modeling problems into structured, scalable machine learning pipelines effectively.
• Optimize multi-dimensional cost functions using advanced gradient descent and regularization methods.
• Evaluate model performance metrics including ROC-AUC, precision-recall, and cross-validation curves accurately.
• Implement deep neural network architectures and reinforcement agents for engineering applications.

Key Features of Applied Machine Learning 2nd Edition M Gopal

• Practical Engineering Context: Connects theoretical machine learning mathematics directly with industrial applications.
• Extensive Practice Material: Contains numerous worked examples along with graded chapter-end numerical exercises.
• Standard AICTE Syllabus Match: Aligns with third and fourth-year AI/ML courses across Indian technical universities.
• Self-Study Friendly: Organized with intuitive case studies so that students can revise complex models easily.

Who Should Buy Applied Machine Learning 2nd Edition M Gopal?

This textbook is particularly recommended for:

• Undergraduate Engineers: B.Tech and B.E. students in CSE, IT, AI & Data Science, and ECE streams.
• Postgraduate Researchers: M.Tech, MCA, and M.Sc. Data Science scholars requiring rigorous algorithmic depth.
• GATE & Technical Exam Aspirants: Candidates targeting top scores in Data Science and Artificial Intelligence papers.
• Software Developers: Programmers building industrial predictive algorithms and machine learning systems.

About the Author & Publisher

Prof. M. Gopal is an internationally acclaimed academician and former Professor at IIT Delhi, recognized for his foundational textbooks in control engineering and applied intelligence. In addition, through McGraw Hill Education India, his literature continues to empower future engineers with mathematical precision, conceptual clarity, and practical relevance.

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