Artificial Intelligence and Machine Learning | Pradeep Singh, Tapan K Gandhi and Balasubramanian Raman

Price: ₹695 - ₹569.00
(as of Dec 08, 2025 13:34:39 UTC – Details)


📘 About the Book / Overview

This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI, focusing on key concepts of Artificial Intelligence from basic to advanced. The aim is to provide a comprehensive guide that bridges theory and practice, empowering readers to harness the power of data to build intelligent solutions.

Structured to facilitate a gradual and in-depth understanding, this book takes readers on a journey through the essential aspects of Artificial Intelligence, Machine Learning, and Data Science, along with important concepts such as Reinforcement Learning, Neural Networks and Deep Learning, Natural Language Processing (NLP), and advanced machine learning techniques.

To enrich the learning experience, practical examples and exercises are included in every chapter. Additionally, future trends in AI are explored, encouraging continuous curiosity and exploration of new advancements in this dynamic field.

✨ Salient Features✔️ Comprehensive textbook covering Artificial Intelligence (AI) and Machine Learning (ML).✔️ Aligned with the syllabi of universities across India where AI and ML are combined subjects.✔️ Emphasis on hands-on learning through code snippets, practical examples, and real-world case studies.✔️ Inclusion of the latest methodologies, tools, and trends in Data Science and AI.✔️ Discusses related topics such as NLP, Deep Learning, Neural Networks, Data Mining, and Data Warehousing.
🌐 Web SupplementsInstructor Resources:
A wealth of information is available online through McGraw-Hill’s Connect platform: 📊 Lecture PowerPoint Slides📝 Solution ManualStudent Resources:
Available at: 📂 Data Sets🧠 Chapter-wise Test Bank✔️ Answer Keys to Chapter-End Objective Questions💡 Hints to Chapter-End Numerical Questions📝 Additional Chapter-Wise Solved Examples🔗 Links to Reference Materials📚 Appendices: Linear Algebra; Probability and Statistics; Geometry and Multivariate Calculus
📑 Table of Contents1️⃣ Foundations of Artificial Intelligence2️⃣ Intelligent Agents and Environments3️⃣ Search and Problem Solving4️⃣ Knowledge Representation and Logical Reasoning5️⃣ Probabilistic Reasoning and Uncertainty6️⃣ Machine Learning Basics and Techniques7️⃣ Supervised Learning Techniques8️⃣ Unsupervised Learning Techniques9️⃣ Neural Networks and Deep Learning🔟 Reinforcement Learning1️⃣1️⃣ Advanced Machine Learning Techniques1️⃣2️⃣ Natural Language Processing (NLP)1️⃣3️⃣ Data Mining and Predictive Analysis1️⃣4️⃣ Data Warehousing and Business Intelligence1️⃣5️⃣ Ethics in AI and Future Trends🔍 Index
Publisher ‏ : ‎ McGraw Hill (31 July 2025); McGraw Hill Education (India) Private Limited, Candor TechSpace, 8th Floor, Tower No 5, Plot No 2, Block B,Sector 62, Noida, Uttar Pradesh – 201309; 18001035875
Language ‏ : ‎ English
Paperback ‏ : ‎ 584 pages
ISBN-10 ‏ : ‎ 936444082X
ISBN-13 ‏ : ‎ 978-9364440820
Item Weight ‏ : ‎ 717 g
Dimensions ‏ : ‎ 20.9 x 18.3 x 2 cm
Country of Origin ‏ : ‎ India
Net Quantity ‏ : ‎ 1 Count
Packer ‏ : ‎ McGraw Hill Education (India) Private Limited, Khasra No.: 305 to 311 & 320, NH – 91, Dadri bypass, Vill. Badhpura, Dadri, Dist. Gautam Budh Nagar, UP-203207, India; 18001035875
Generic Name ‏ : ‎ Book
Best Sellers Rank: #12,039 in Books (See Top 100 in Books) #40 in Artificial Intelligence
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