Applied Machine Learning with Scikit-Learn, Keras and TensorFlow; Concepts, Tools and Techniques for Developing Intelligent Systems (Cover may vary)
Item #: 195936580

Applied Machine Learning with Scikit-Learn, Keras and TensorFlow; Concepts, Tools and Techniques for Developing Intelligent Systems (Cover may vary)

Item #: 195936580

SAR 318

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    What Stands Out

    Comprehensive Coverage
    This book offers an extensive exploration of machine learning concepts, covering Scikit-Learn, Keras, and TensorFlow, ensuring readers gain a well-rounded understanding of developing intelligent systems.
    Hands-On Approach
    Packed with practical examples and real-world applications, this resource allows readers to apply machine learning techniques immediately, enhancing learning and skills development through engaging, hands-on projects.
    Expert Insights
    Authored by industry professionals, the book shares invaluable insights and best practices, helping readers avoid common pitfalls and effectively design and implement machine learning models.

    Product Details

    Shop Applied Machine Learning with Scikit-Learn, Keras and TensorFlow; Concepts, Tools and Techniques for Developing Intelligent Systems (Cover may vary) online at a best price in Saudi Arabia. 6050624828
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    PublishersIceberg Publishing House
    Date of publicization17 August 2021
    Language Turkish
    Print length 896 pages
    ISBN-10 6050624828
    ISBN-13 978-6050624823
    Dimensions 20.8 x 1.8 x 13.8 cm

    Who Should Buy?

    Suitable For
    • Aspiring Data Scientists

      Ideal for individuals wanting to build a foundational knowledge in machine learning and practical skills using popular libraries.

    • Software Developers

      Great for developers seeking to implement machine learning techniques into existing applications and systems using Python.

    • Machine Learning Instructors

      Beneficial for educators who require structured content and examples to effectively teach machine learning concepts to students.

    Not Suitable For
    • Complete Beginners

      Not suitable for absolute beginners, as prior knowledge of programming and data science concepts is necessary to follow along.

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    Pros

    • Comprehensive coverage of topics
    • User-friendly examples
    • Supports practical learning
    • Great for beginners and experts
    • Up-to-date with latest tools

    Cons

    • Some advanced topics may need prior knowledge.

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