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Top 20 Machine Learning Books in 2025

Top 20 Machine Learning Books in 2025

20 best machine learning books in 2025

1. “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow”

  • Author: Aurélien Géron
  • Price: ₹3,000 – ₹3,500 (approx.)
  • Overview: A practical approach to machine learning with Python libraries like Scikit-Learn, Keras, and TensorFlow.
  • Level: Beginner to Intermediate
  • Link


2. “Pattern Recognition and Machine Learning”

  • Author: Christopher M. Bishop
  • Price: ₹4,500 – ₹5,500 (approx.)
  • Overview: Focuses on probabilistic models and statistical methods in machine learning.
  • Level: Intermediate to Advanced
  • Link:


3. “Deep Learning”

  • Authors: Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • Price: ₹6,000 – ₹7,500 (approx.)
  • Overview: A foundational text on deep learning covering theory, models, and algorithms.
  • Level: Advanced
  • Link:


4. “Machine Learning Yearning”

  • Author: Andrew Ng
  • Price: ₹900 – ₹1,500 (approx.) (Free eBook version available)
  • Overview: A guide to structuring machine learning projects, written by one of the field’s leading experts.
  • Level: Beginner to Intermediate
  • Link:


5. “The Elements of Statistical Learning”

  • Authors: Trevor Hastie, Robert Tibshirani, and Jerome Friedman
  • Price: ₹800 – ₹1,000 (approx.)
  • Overview: A comprehensive resource on statistical methods and machine learning theory.
  • Level: Advanced
  • Link:


6. “Introduction to Machine Learning with Python”

  • Authors: Andreas C. Müller and Sarah Guido
  • Price: ₹1,300 – ₹2,000 (approx.)
  • Overview: A practical introduction to machine learning with Python, focusing on the Scikit-Learn library.
  • Level: Beginner to Intermediate
  • Link:


7. “Machine Learning: A Probabilistic Perspective”

  • Author: Kevin P. Murphy
  • Price: ₹5,500 – ₹6,500 (approx.)
  • Overview: A deep dive into probabilistic graphical models, a key aspect of modern machine learning.
  • Level: Advanced
  • Link:


8. “Deep Reinforcement Learning Hands-On”

  • Author: Maxim Lapan
  • Price: ₹2,500 – ₹3,000 (approx.)
  • Overview: A hands-on guide to deep reinforcement learning using Python and PyTorch.
  • Level: Intermediate to Advanced
  • Link:


9. “Data Science for Business”

  • Authors: Foster Provost and Tom Fawcett
  • Price: ₹1,500 – ₹2,000 (approx.)
  • Overview: Connects machine learning concepts to business strategy and decision-making.
  • Level: Beginner to Intermediate
  • Link:


10. “Bayesian Reasoning and Machine Learning”

  • Author: David Barber
  • Price: ₹3,500 – ₹4,000 (approx.)
  • Overview: Focuses on Bayesian methods and their applications in machine learning.
  • Level: Intermediate to Advanced
  • Link:


11. “Machine Learning”

  • Author: Tom M. Mitchell
  • Price: ₹1,000 – ₹2,000 (approx.)
  • Overview: A classic introduction to machine learning covering both theory and algorithms.
  • Level: Beginner
  • Link:


12. “Neural Networks and Deep Learning”

  • Author: Michael Nielsen
  • Price: ₹2,000 – ₹2,500 (approx.)
  • Overview: A beginner-friendly guide to neural networks and deep learning.
  • Level: Beginner to Intermediate
  • Link:


13. “The Hundred-Page Machine Learning Book”

  • Author: Andriy Burkov
  • Price: ₹2,500 – ₹4,000 (approx.)
  • Overview: A concise guide that covers essential machine learning concepts and algorithms.
  • Level: Beginner to Intermediate
  • Link:


14. “Machine Learning for Dummies”

  • Authors: John Paul Mueller and Luca Massaron
  • Price: ₹600 – ₹1,500 (approx.)
  • Overview: A beginner-friendly guide for those just starting with machine learning.
  • Level: Beginner
  • Link:


15. “Artificial Intelligence: A Modern Approach”

  • Authors: Stuart Russell and Peter Norvig
  • Price: ₹1,000 – ₹2,000 (approx.)
  • Overview: A comprehensive text on AI that also covers key machine learning topics.
  • Level: Intermediate to Advanced
  • Link:


16. “Python Machine Learning”

  • Author: Sebastian Raschka
  • Price: ₹1,500 – ₹2,500 (approx.)
  • Overview: Focuses on building machine learning models with Python, including practical examples.
  • Level: Beginner to Intermediate
  • Link:


17. “Advanced Machine Learning with Python”

  • Author: John Hearty
  • Price: ₹2,000 – ₹3,000 (approx.)
  • Overview: An advanced book focusing on building and deploying machine learning models.
  • Level: Advanced
  • Link:


18. “Practical Deep Learning for Coders”

  • Authors: Jeremy Howard and Sylvain Gugger
  • Price: ₹2,500 – ₹3,500 (approx.)
  • Overview: A hands-on guide to deep learning with the Fastai library and PyTorch.
  • Level: Intermediate to Advanced
  • Link:


19. “Building Machine Learning Powered Applications”

  • Author: Emmanuel Ameisen
  • Price: ₹1,000 – ₹1,500 (approx.)
  • Overview: A practical guide to building real-world machine learning applications.
  • Level: Intermediate
  • Link:


20. “Machine Learning in Action”

  • Author: Peter Harrington
  • Price: ₹800 – ₹1,000 (approx.)
  • Overview: A hands-on guide that explains machine learning algorithms with examples in Python.
  • Level: Intermediate
  • Link:

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