Artificial Intelligence and Machine Learning, 1e

Artificial Intelligence and Machine Learning, 1e (Paperback, Pradeep Singh, Tapan K Gandhi, Balasubramanian Raman)

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Artificial Intelligence and Machine Learning, 1e (Paperback, Pradeep Singh, Tapan K Gandhi, Balasubramanian Raman)

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    Highlights
    • Binding: Paperback
    • Publisher: McGraw Hill
    • ISBN: 9789364440820
    • Edition: 1, 2025
    • Pages: 584
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  • Description
    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, the book takes readers 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, and future trends in AI are explored to inspire continuous curiosity and engagement with 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.
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    Specifications
    Dimensions
    Width
    • 18.3 cm
    Height
    • 2 cm
    Length
    • 20.9 cm
    Depth
    • 4
    Weight
    • 717 g
    In The Box
    • 1 Book
    Book Details
    Publication Year
    • 2025 July
    Edition Type
    • 1
    Number of Pages
    • 584
    Net Quantity
    • 1
    Contributors
    Author Info
    • Pradeep Singh is currently a Principal Investigator at the Machine Intelligence Lab in the Department of Computer Science and Engineering at IIT Roorkee. His research focuses on the intersection of Geometric Deep Learning, Neuro-Symbolic AI, and Dynamical Systems. He holds a Ph.D. and a Master’s degree from the Indian Institute of Technology (IIT) Delhi in Dynamical Systems. Dr. Singh has received multiple accolades, including securing All India Rank 1 in IIT GATE 2020, IIT JAM 2015, and CSIR NET 2019. His research has been published in reputed journals such as Biomedical Signal Processing and Control and the Journal of Nondestructive Evaluation. Tapan K Gandhi is a Professor in the Department of Electrical Engineering at IIT Delhi, Cadence Chair Professor of AI and Automation, Joint Faculty in the School of AI at IIT Delhi, and Adjunct Faculty in the School of AI and Data Science at IIT Jodhpur. He holds a Ph.D. in Biomedical Engineering from IIT Delhi and completed his postdoctoral research at MIT. He has published over 200 papers in top-ranking journals such as Nature and PNAS. He holds four patents and has successfully transferred three technologies to the Ministry of Social Justice, Government of India. Balasubramanian Raman is the Head of the Department of Computer Science and Engineering and a Chair Professor at IIT Roorkee. He holds a Ph.D. from IIT Madras. With over 200 research papers published in reputed journals and conferences, his research interests include Machine Learning, Image and Video Processing, Computer Vision, and Pattern Recognition.
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    Super!

    Excellent book for beginners...
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    Satyaranjan Patra

    Certified Buyer, Manikonda

    4 months ago

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