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AIML – SEM 1 – Machine Learning – Tom M. Mitchell

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A classic introduction to machine learning, ideal for BITS WILP AIML students. Learn key ML algorithms, theory, and applications with clarity.

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Get introduced to the fundamentals of machine learning with one of the most widely recommended textbooks in the field. Machine Learning by Tom M. Mitchell offers a clear and intuitive approach to core ML concepts—perfect for BITS WILP AIML students diving into algorithms, learning theory, and practical implementations.

With its structured explanations and real-world examples, this book helps you understand how machines learn from data—laying the groundwork for more advanced AI coursework.

  • Core textbook for BITS WILP AIML (typically Semester 2 or 3)

  • Covers supervised/unsupervised learning, decision trees, neural networks, Bayesian learning & more

  • Simplifies algorithms and theory for beginners

  • Ideal for assignments, projects, and interviews

  • Trusted by universities and ML practitioners globally

  • Physical copy – Excellent print and binding quality

  • Ships in  7  days across India

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