ts, educators, researchers, and professionals, this book offers a structured journey from core concepts to advanced models and applications shaping the future of intelligent systems.
Beginning with foundational topics such as supervised and unsupervised learning, mathematical underpinnings, model evaluation techniques, and feature engineering, the book ensures a solid grounding in essential machine learning techniques. Readers will develop a deep understanding of classical algorithms such as linear regression, decision trees, k-means clustering, and support vector machines.
The second half of the book explores the frontiers of machine learning—introducing the reader to state-of-the-art topics including deep learning architectures, reinforcement learning, probabilistic graphical models, and ethical AI. Contemporary frameworks such as convolutional and recurrent neural networks, attention mechanisms, and transformers are discussed with real-world case studies and hands-on examples.
Throughout the book, emphasis is placed on both theory and practical implementation using Python, popular ML libraries (e.g., scikit-learn, TensorFlow, PyTorch), and reproducible workflows.
Whether you are a beginner building your foundation or a practitioner eager to stay on the cutting edge, this book equips you with the knowledge, tools, and perspective needed to excel in the evolving world of machine learning.
Foundations and Frontiers of Machine Learning: A Step-by-Step Guide from Basics to Advanced Techniques
Estimated delivery dates: Mar 9, 2026 - Mar 13, 2026
₹759.00 Save:₹40.00(5%)
Dr. Raja Jitendra Nayaka , B.E , M.Tech, Ph.D. Currently working as an Assistant Professor Senior Grade in the Department of Computer Science & Engineering, School of Engineering, Presidency University, Bangalore. He is interested in Theoretical Computer Science, Artificial Intelligence, Data Science and Deep Learning. His work has spanned various aspects of including the development of novel algorithms, the study of Artificial Intelligence, Deep Learning Algorithms, and the exploration of connections between Artificial Intelligence and Data Science with real-world applications. His passion for teaching and mentorship is evident through his extensive experience as a university professor.Mr. Laxman, B.E., M.Tech (Ph.D.), is a seasoned professional with over 25 years of rich experience in the Information Technology industry and 7 years in academia. He is currently serving as a Professor of Practice in the Department of Computer Science and Engineering at Presidency University. His academic journey is complemented by his ongoing doctoral research in the field of Generative Artificial Intelligence and Large Language Models.Ms. Praveena M, B.E., M.Tech (Ph.D.), working as an Assistant Professor in the Department of Computer Science & Engineering since 2012 .She taught Courses like Artificial Intelligence and Machine learning,Computer Networks,Compiler Design, Cloud computing and web programming both in UG and PG level .She is a certified campus connect trainer from Infosys Ltd.Ms. Sushmitha S. S, M.E., is currently working as an Assistant Professor in the Department of Computer Science & Engineering at the School of Engineering, Presidency University, Bangalore. With a strong foundation in Network Engineering, she brings nearly two years of teaching experience to the academic field.
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| Weight | 0.75 kg |
|---|---|
| Dimensions | 27.87 × 21.6 × 4.9 cm |
| Binding Type | Paperback |
| Languages | |
| Publishers |
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