1. Artificial Intelligence
2. (Idea of Machine Learning)
3. Linear Regression
4. (Logistic Regression)
5. (Discussion on clustering)
Product Form
Paperback
Publisher
Khanna Publishing House
ISBN13
9789355386885
Book Category
Higher Education and Professional Books
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Book Details
Title
Introduction to AI & Machine Learning
Imprint
Khanna Publishing House
Publication Year
2025
Table of Contents
1. Artificial Intelligence
2. (Idea of Machine Learning)
3. Linear Regression
4. (Logistic Regression)
5. (Discussion on clustering)
Product Form
Paperback
Publisher
Khanna Publishing House
ISBN13
9789355386885
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM094000
Book Subcategory
Computing and Information Technology Books
Edition
First
Language
English
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Introduction to AI and Machine Learning is a comprehensive guide designed for readers who are new to the fields of artificial intelligence (AI) and machine leraning ( ML) The book aims to demystify these valuable insights for those with some foundation Knowledge This book is ideal for students and educators seeking a thorough introduction to AI and ML by the end of the book readers will have a solid understanding of the fundamental concepts of AI and ML and will be able to write basic AI and ML programs using python KEY FEATURES OF THE BOOK • Simple Language : Utilizes straightforward and easily understandable language throughout the text • Engaging Learning Experience : Incorporates hands on activities to enhance the learning experience • Foundational Concepts : Introduces AI and ML covering weak vs strong AI machine learning methods ( supervised unsupervised and reinforcement learning ) and optimization techniques • Search Algorithms : Discusses Problem solving strategies such as BFS DFS and A with illustrations form examples like the water jug and 8 queen problems • Practical Applications : Highlights real world applications across various industries supported by case studies and examples • Hands On Approach : Offers practical exercises and coding examples using python for a better understanding of the subject