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Python Machine Learning 2nd Edition by Sebastian Raschka

  • Publisher: COMPUTER SCIENCE
  • Availability: In Stock
  • SKU: 49529
  • Number of Pages: 622

Rs.1,230.00

Rs.1,595.00

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Python Machine Learning - Second Edition: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow by Sebastian Raschka and Vahid Mirjalili is a comprehensive guide that covers the fundamentals and advanced techniques in machine learning and deep learning. This edition provides readers with practical insights and hands-on experience using Python, scikit-learn, and TensorFlow. It is designed for both beginners and experienced practitioners, offering clear explanations, code examples, and projects that illustrate key concepts and applications of machine learning and deep learning.

Key Points:

  • Foundational Concepts: Introduces the essential concepts of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and more.
  • Advanced Techniques: Covers advanced topics such as deep learning, neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and reinforcement learning.
  • Practical Implementation: Provides hands-on tutorials and code examples using Python, scikit-learn, and TensorFlow, enabling readers to implement and experiment with machine learning models.
  • Real-World Applications: Demonstrates the application of machine learning and deep learning techniques in real-world scenarios, including image and speech recognition, natural language processing, and predictive analytics.
  • Updated Content: Includes the latest updates and features of TensorFlow and other libraries, ensuring readers have access to the most current tools and practices in the field.

Conclusion: Python Machine Learning - Second Edition by Sebastian Raschka and Vahid Mirjalili is an essential resource for anyone looking to understand and apply machine learning and deep learning using Python. Its comprehensive coverage of both fundamental and advanced topics, coupled with practical examples and real-world applications, makes it an invaluable guide for students, researchers, and professionals in data science and artificial intelligence.

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Writer                             Sebastian Raschka (Author), Vahid Mirjalili (Author)

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