Artificial Intelligence and Machine Learning
1st Edition
936444082X
·
9789364440820
© 2025 | Published: July 25, 2025
Overview:This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI by focusing on the key concepts of Artificial Intelligence from basic to advance, the aim is to provide the comprehensive guide that br…
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Chapter 1 Foundations of Artificial Intelligence
Chapter 2 Intelligent Agents and Environments
Chapter 3 Search and Problem Solving
Chapter 4 Knowledge Representation and Logical Reasoning
Chapter 5 Probabilistic Reasoning and Uncertainty
Chapter 6 Machine Learning Basics and Techniques
Chapter 7 Supervised Learning Techniques
Chapter 8 Unsupervised Learning Techniques
Chapter 9 Neural Networks and Deep Learning
Chapter 10 Reinforcement Learning
Chapter 11 Advanced Machine Learning Techniques
Chapter 12 Natural Language Processing (NLP)
Chapter 13 Data Mining and Predictive Analysis
Chapter 14 Data Warehousing and Business Intelligence
Chapter 15 Ethics in AI and Future Trends
Chapter 2 Intelligent Agents and Environments
Chapter 3 Search and Problem Solving
Chapter 4 Knowledge Representation and Logical Reasoning
Chapter 5 Probabilistic Reasoning and Uncertainty
Chapter 6 Machine Learning Basics and Techniques
Chapter 7 Supervised Learning Techniques
Chapter 8 Unsupervised Learning Techniques
Chapter 9 Neural Networks and Deep Learning
Chapter 10 Reinforcement Learning
Chapter 11 Advanced Machine Learning Techniques
Chapter 12 Natural Language Processing (NLP)
Chapter 13 Data Mining and Predictive Analysis
Chapter 14 Data Warehousing and Business Intelligence
Chapter 15 Ethics in AI and Future Trends
Overview:
This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI by focusing on the key concepts of Artificial Intelligence from basic to advance, the aim is to provide the 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 the reader on a journey through the essential aspects of Artificial Intelligence, Machine Learning, and data science along with some important concepts such as reinforcement learning, neural network and deep learning, natural language processing, and advance machine learning techniques. To enrich the learning experience, practical example, and exercises are included in every chapter. Additionally, the future trends in AI are explored, encouraging a continuous curiosity and exploration of new advancement in this dynamic field.
Key Features:
- Comprehensive textbook that includes the concept of both Artificial Intelligence (AI) and Machine Learning (ML).
- Aligns to the syllabi of universities across India where AI ML are being taught as a combined subject.
- 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.
- This book also discusses some other related topics such as NLP, Deep Learning, and Neural Network In addition, this book also includes topics related to Data Science such as Data mining and Data Warehousing.
This book is designed to introduce beginners to the foundational concepts and techniques that underpin AI by focusing on the key concepts of Artificial Intelligence from basic to advance, the aim is to provide the 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 the reader on a journey through the essential aspects of Artificial Intelligence, Machine Learning, and data science along with some important concepts such as reinforcement learning, neural network and deep learning, natural language processing, and advance machine learning techniques. To enrich the learning experience, practical example, and exercises are included in every chapter. Additionally, the future trends in AI are explored, encouraging a continuous curiosity and exploration of new advancement in this dynamic field.
Key Features:
- Comprehensive textbook that includes the concept of both Artificial Intelligence (AI) and Machine Learning (ML).
- Aligns to the syllabi of universities across India where AI ML are being taught as a combined subject.
- 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.
- This book also discusses some other related topics such as NLP, Deep Learning, and Neural Network In addition, this book also includes topics related to Data Science such as Data mining and Data Warehousing.