Welcome to Introduction to Artificial Intelligence (AI) and Machine Learning (ML)! AI and ML are transforming industries, from self-driving cars to predictive analytics. This textbook introduces these technologies, providing both foundational knowledge and practical applications.
Intended Audience:
Designed for students and professionals in computer science, data science, and engineering, this book caters to all levels, offering a blend of theory and hands-on practice.
Structure and Approach:
Starting with core concepts, the book covers AI/ML history, techniques, and algorithms, progressing to advanced topics like deep learning and natural language processing, with coding examples for practical experience.
Key Features:
Hands-on Examples: Practical coding with TensorFlow, Keras, and scikit-learn.
Case Studies: Real-world applications in healthcare, finance, and more.
Tools & Techniques: Key AI/ML libraries and frameworks.
Emerging Trends: AI ethics, neural networks, and societal impacts.
This book is your comprehensive guide to mastering AI and ML for academic, professional, and personal projects.
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Ms.Saranya S, Ms.Bharathi V, Ms.Meenakshi N, Ms.S J Kavitha
Ms. S. Saranya is an Assistant Professor in the Department of Computer Science and Engineering at Vels Institute of Science Technology and Advanced Studies (VISTAS). She holds a Bachelor of Engineering in Computer Science and Engineering, a Master of Engineering in Computer Science and Engineering and Her Ph.D. research focuses on medical image Processing, machine learning, and deep learning.
Ms.Bharathi V works as an Assistant Professor in the Department of Computer Science and Engineering at Vels Institute of Science Technology and Advanced Studies (VISTAS). She holds a Bachelor of Engineering in Computer Science and Engineering, a Master of Engineering in Computer Science and Engineering and Her Ph.D. research focuses on medical image Processing, machine learning, and deep learning.
Ms.N.Meenakshi is an Assistant Professor in the Department of Computer Science and Engineering at Vels Institute of Science, Technology and Advanced Studies, Chennai. She has B.E CSE and Masters Degree in Information Technnology. Area of Expertise in Artificial Intelligence
Ms. S. J. Kavitha is an Assistant Professor at Vels Institute of Science Technology and Advanced Studies [VISTAS] in the Department of Computer Science and Engineering. She graduated from the Department of CSE with a Bachelor of Engineering and a Master of Engineering. Her Ph.D. research focuses on medical image Processing, machine learning, and deep learning.
