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Explainable AI: Foundations and Practical Techniques

Author(s): Paresh Patil Sushant Gaikwad Akash Hatkangane
600

  • Language:
  • English
  • Genre(s):
  • Teaching & EducationEngineering & TechnologyScience & Mathematics
  • ISBN13:
  • 9789359113982
  • ISBN10:
  • 9359113980
  • Format:
  • Paperback
  • Trim:
  • 8x10
  • Pages:
  • 218
  • Publication date:
  • 13-Aug-2024

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  •   10 Days Replacement Policy

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Embark on an exciting journey into the frontier of Explainable AI (XAI) with this detailed and comprehensive guide, designed specifically to bridge the gap between the complex world of artificial intelligence and non-technical users who seek to navigate this landscape. Within this extensive resource, readers can delve into a variety of explanation methods and their critical evaluation, allowing for a thorough understanding of how these concepts play out in real-world scenarios. Furthermore, you will learn to adeptly apply data-centric XAI principles to develop practical solutions that address real challenges faced by businesses and researchers alike. Gain invaluable hands-on experience with an array of cutting-edge tools such as LIME, SHAP, TCAV, DALEX, ALIBI, and DiCE, enhancing your skill set and empowering your projects. Additionally, discover industrial best practices that can guide your efforts, while navigating open challenges with the help of recommended guidelines that foster clarity and efficiency. This essential resource not only promotes AI transparency and trustworthiness but also makes the adoption of AI technologies significantly easier for various applications in both industry and research domains. It is the perfect guide for anyone keen on understanding and effectively implementing explainable machine learning systems in their work.

Paresh Patil

Paresh Patil

Paresh Patil, a LinkedIn Top Voice in Data Science, AI, and Machine Learning, is an accomplished AI engineer and author of Deep Learning Essentials: Concepts, Techniques, and Practical Applications. A top 5% mentor on TopMate, Paresh helps professionals reach their career goals. With over 30 data science blogs and his popular LinkedIn newsletter DataGlance: Insights Unveiled, followed by 1,800+ subscribers, he provides valuable insights into the latest industry trends and advancements.
Sushant Gaikwad

Sushant Gaikwad

Sushant Gaikwad is a dedicated data science professional with strong expertise in machine learning and analytics. His commitment to mastering advanced techniques and applying them to real-world challenges reflects his growing knowledge in the field. He actively engages in cutting-edge projects, continually enhancing his skills through advanced coursework and collaborative research.
Akash Hatkangane

Akash Hatkangane

Akash Hatkangane is a passionate data science practitioner with expertise in statistical modeling and data-driven strategies. His commitment to continuous learning and hands-on experience highlights his growing knowledge and dedication to innovation in the field. He actively engages in professional communities to enhance his skills and contribute to industry progress.

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