Welcome to our engaging course on SHAP (SHapley Additive exPlanations), a powerful method that reveals the influence of each input on a system’s outcome. This course provides a clear understanding of Shapley values, with detailed numerical examples that simplify complex concepts. You'll explore practical techniques to interpret and visualize individual and combined input effects. The course includes practical implementation using both Python and MATLAB, guiding you through real-world scenarios in fields like healthcare, finance, and connected environments. Whether you're working with structured data or complex systems, this course equips you with the tools to make outcomes more transparent and decisions more informed.
Working of XAI
Applications of XAI
Propagation-Based Feature Attribution Methods
Concept-Based Explainability Methods
Deep Learning Models in XAI
Future of XAI in Machine Learning
How SHAP is Used in Machine Learning Models?
Advantages and Challenges of Using SHAP
Python
Dr. P. Vijaya has been working in the Department of Mathematics and Computer Science at Modern College of Business and Science since January 2020. Before joining Modern College, she was employed at Waljat College of Applied Sciences from October 2004 to December 2021. She was awarded Best Head of Department, Academics at Waljat College, based on a 360-degree evaluation. She has more than 25 years of experience in academia. Dr. Vijaya earned her Engineering degree in Electronics and Communication Engineering from the National Institute of Technology, Trichy, an M.Tech in Computer Science & Engineering from MIT, Manipal, and a Ph.D. in Computer Science & Engineering from Karpagam Academy of Higher Education. In 2019, she received the prestigious Prof. Indra Parekh Women Education Leader Award. She has organized international conferences, special sessions in international conferences, symposiums, tech fests, workshops, guest lectures, and summer programs. Dr. Vijaya plays a leading role in the activities organized by the college and has received letters of appreciation and awards for her time management and dedication to her tasks. Her publications are primarily in SCI and Scopus-indexed journals. She also serves as a reviewer for international journals and conferences, and is an editor and guest editor for several journals. Her research areas include information retrieval and machine learning.
Reviews
Saurabh Jain
Preeti Kapoor
Mohit Khanna
Ritu Chatterjee
Varun Agarwal
₹1000
₹6000
$12
$71
This course includes:
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Validity:60 days
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Validity:60 days
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Category:Explainable AI (XAI)
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Lessons:8
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Students:1780
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Language:English
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Certificates:Yes
Payment details
SHapley Additive exPlanations
Feature Attribution With Numerical Examples And Practical Case Studies
